Triple
T120359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Society for Microbiology |
E2431
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ASM
ASM is a leading professional organization dedicated to advancing the microbial sciences through research, education, and advocacy.
|
E12995
|
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: ASM | Statement: [American Society for Microbiology, abbreviation, ASM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASM Context triple: [American Society for Microbiology, abbreviation, ASM]
-
A.
ASM
ASM is the three-letter ISO 3166-1 alpha-3 country code assigned to American Samoa, an unincorporated territory of the United States in the South Pacific Ocean.
-
B.
AS
AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
-
C.
SAS
SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
-
D.
SAS
SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
-
E.
Assembly Rules
Assembly Rules are the formal procedures and regulations that govern how the California State Assembly conducts its legislative business, debates, and decision-making processes.
- 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: ASM Triple: [American Society for Microbiology, abbreviation, ASM]
Generated description
ASM is a leading professional organization dedicated to advancing the microbial sciences through research, education, and advocacy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ASM Target entity description: ASM is a leading professional organization dedicated to advancing the microbial sciences through research, education, and advocacy.
-
A.
ASM
ASM is the three-letter ISO 3166-1 alpha-3 country code assigned to American Samoa, an unincorporated territory of the United States in the South Pacific Ocean.
-
B.
AS
AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
-
C.
SAS
SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
-
D.
SAS
SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
-
E.
Assembly Rules
Assembly Rules are the formal procedures and regulations that govern how the California State Assembly conducts its legislative business, debates, and decision-making processes.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a25715cfb881909ffb488f21a4a16d |
completed | Feb. 28, 2026, 2:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2917de638819087f7c16d21963c63 |
completed | Feb. 28, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69a295bbc23c81908194d6f4bea4fcd4 |
completed | Feb. 28, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2968bffd881908147c66838776fef |
completed | Feb. 28, 2026, 7:17 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.