Triple
T659366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Association of American Medical Colleges |
E11719
|
entity |
| Predicate | develops |
P73
|
FINISHED |
| Object |
Medical College Admission Test
The Medical College Admission Test (MCAT) is a standardized, multiple-choice exam used by medical schools in the United States and Canada to assess applicants’ knowledge of natural, behavioral, and social sciences as well as critical analysis and reasoning skills.
|
E82568
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Medical College Admission Test | Statement: [Association of American Medical Colleges, develops, Medical College Admission Test]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medical College Admission Test Context triple: [Association of American Medical Colleges, develops, Medical College Admission Test]
-
A.
Law School Admission Test
The Law School Admission Test (LSAT) is a standardized exam used primarily in the United States and Canada to assess reading comprehension, logical reasoning, and analytical thinking skills for law school applicants.
-
B.
GRE
The GRE (Graduate Record Examination) is a standardized test widely used for admission to graduate and business school programs, assessing verbal reasoning, quantitative reasoning, and analytical writing skills.
-
C.
Test of English as a Foreign Language
The Test of English as a Foreign Language (TOEFL) is a standardized exam that measures the English language proficiency of non-native speakers for academic and professional purposes, especially for admission to universities in English-speaking countries.
-
D.
GMAT
The GMAT is a standardized, computer-adaptive exam used worldwide to assess analytical, quantitative, verbal, and writing skills for admission to graduate business programs.
-
E.
Association of American Medical Colleges
The Association of American Medical Colleges is a nonprofit organization that represents and supports medical schools, teaching hospitals, and academic societies in the United States and Canada, working to advance medical education, research, and patient care.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Medical College Admission Test Triple: [Association of American Medical Colleges, develops, Medical College Admission Test]
Generated description
The Medical College Admission Test (MCAT) is a standardized, multiple-choice exam used by medical schools in the United States and Canada to assess applicants’ knowledge of natural, behavioral, and social sciences as well as critical analysis and reasoning skills.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Medical College Admission Test Target entity description: The Medical College Admission Test (MCAT) is a standardized, multiple-choice exam used by medical schools in the United States and Canada to assess applicants’ knowledge of natural, behavioral, and social sciences as well as critical analysis and reasoning skills.
-
A.
Law School Admission Test
The Law School Admission Test (LSAT) is a standardized exam used primarily in the United States and Canada to assess reading comprehension, logical reasoning, and analytical thinking skills for law school applicants.
-
B.
GRE
The GRE (Graduate Record Examination) is a standardized test widely used for admission to graduate and business school programs, assessing verbal reasoning, quantitative reasoning, and analytical writing skills.
-
C.
Test of English as a Foreign Language
The Test of English as a Foreign Language (TOEFL) is a standardized exam that measures the English language proficiency of non-native speakers for academic and professional purposes, especially for admission to universities in English-speaking countries.
-
D.
GMAT
The GMAT is a standardized, computer-adaptive exam used worldwide to assess analytical, quantitative, verbal, and writing skills for admission to graduate business programs.
-
E.
Association of American Medical Colleges
The Association of American Medical Colleges is a nonprofit organization that represents and supports medical schools, teaching hospitals, and academic societies in the United States and Canada, working to advance medical education, research, and patient care.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa705c48190a29952c1f7cab901 |
completed | March 1, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c39453208190928b61ad090e7e23 |
completed | March 2, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69a5c4ef88388190b9746f599cf88a35 |
completed | March 2, 2026, 5:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5ce75386081909d780586dcdf0e5a |
completed | March 2, 2026, 5:52 p.m. |
Created at: March 1, 2026, 7:36 p.m.