Triple
T26689516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Gate University |
E672836
|
entity |
| Predicate | lawSchoolAccreditedBy |
P47591
|
FINISHED |
| Object | American Bar Association |
—
|
NE NERFINISHED |
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: American Bar Association | Statement: [Golden Gate University, lawSchoolAccreditedBy, American Bar Association]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawSchoolAccreditedBy Context triple: [Golden Gate University, lawSchoolAccreditedBy, American Bar Association]
-
A.
lawSchoolAccreditation
chosen
Indicates that a law school has been formally evaluated and recognized as meeting established educational and professional standards by an accrediting authority.
-
B.
lawSchoolRankingContext
Indicates the contextual ranking information associated with a law school, such as its position or status within a specified ranking system or timeframe.
-
C.
legalSchoolFor
Indicates that one entity is an educational institution recognized or designated as a law school for another entity (such as a person, jurisdiction, or program).
-
D.
lawSchoolName
Indicates the name of the law school with which an entity (such as a person or institution) is associated.
-
E.
legalSchoolFoundedIn
Indicates that a law school was established or came into existence in a specific year or time period.
- 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f61741857c81909cbe2fa1583dcaec |
completed | May 2, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:25 a.m.