Triple
T3540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Association of American Universities |
E66
|
entity |
| Predicate | membershipCriteria |
P136
|
FINISHED |
| Object | high level of research activity |
—
|
LITERAL 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: high level of research activity | Statement: [Association of American Universities, membershipCriteria, high level of research activity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: membershipCriteria Context triple: [Association of American Universities, membershipCriteria, high level of research activity]
-
A.
eligibility
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
-
B.
selectionCriteria
chosen
Indicates the conditions or rules used to choose certain entities from a larger set.
-
C.
memberOf
Indicates that an entity belongs to, is part of, or is a constituent of a larger group, organization, or collection.
-
D.
awardCriteria
Indicates the standards or conditions used to determine eligibility for receiving an award or recognition.
-
E.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
- F. None of above.
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_69a238d6b47881909e68288aed2fd858 |
completed | Feb. 28, 2026, 12:37 a.m. |
| NER | Named-entity recognition | batch_69a23bcc8eb48190b897cc331563980a |
completed | Feb. 28, 2026, 12:50 a.m. |
| PD | Predicate disambiguation | batch_69a23994309081909ff3e869deef2156 |
completed | Feb. 28, 2026, 12:40 a.m. |
Created at: Feb. 28, 2026, 12:40 a.m.