Triple
T34280717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York |
E879581
|
entity |
| Predicate | hasLegalEducationInstitutions |
P53034
|
FINISHED |
| Object | Columbia Law School |
—
|
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: Columbia Law School | Statement: [New York, hasLegalEducationInstitutions, Columbia Law School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalEducationInstitutions Context triple: [New York, hasLegalEducationInstitutions, Columbia Law School]
-
A.
hasLegalEducationInstitution
chosen
Indicates that an entity is associated with or linked to an institution that provides legal education.
-
B.
legalSchoolFoundedIn
Indicates that a law school was established or came into existence in a specific year or time period.
-
C.
associatedSchoolOfLaw
Indicates a relationship where an entity is connected or linked to a particular school of law, typically as its legal education institution or legal academic affiliation.
-
D.
majorSchoolOfLaw
Indicates that a particular school of law is a primary or dominant legal tradition or framework associated with an entity.
-
E.
hasMajorEducationalInstitutions
Indicates that the subject possesses or hosts significant higher-level educational organizations or facilities, such as universities or major colleges.
- 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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: May 1, 2026, 1:57 a.m.