Triple
T384251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMAT |
E8744
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Integrated Reasoning |
E8744
|
NE FINISHED |
How this triple was built (2 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: Integrated Reasoning | Statement: [GMAT, hasSection, Integrated Reasoning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Integrated Reasoning Context triple: [GMAT, hasSection, Integrated Reasoning]
-
A.
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.
-
B.
GMAT
chosen
The GMAT is a standardized, computer-adaptive exam used worldwide to assess analytical, quantitative, verbal, and writing skills for admission to graduate business programs.
-
C.
SAT
The SAT is a standardized college admissions test widely used in the United States to assess high school students' readiness for undergraduate study.
-
D.
CLT
CLT is a fundamental statistical principle stating that the sum or average of many independent, identically distributed random variables tends to follow a normal distribution, regardless of the original distribution.
-
E.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec422b808190b6ddf747ef939151 |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fe95c7088190a1538eecb2ac6955 |
completed | March 1, 2026, 8:53 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.