Triple
T1884294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fordham University |
E39924
|
entity |
| Predicate | lawSchoolRankingContext |
P34354
|
FINISHED |
| Object | nationally recognized law school |
—
|
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: nationally recognized law school | Statement: [Fordham University, lawSchoolRankingContext, nationally recognized law school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawSchoolRankingContext Context triple: [Fordham University, lawSchoolRankingContext, nationally recognized law school]
-
A.
lawSchoolName
Indicates the name of the law school with which an entity (such as a person or institution) is associated.
-
B.
majorSchoolOfLaw
Indicates that a particular school of law is a primary or dominant legal tradition or framework associated with an entity.
-
C.
studiedLawIn
Indicates that a person received legal education or training at a particular institution or location.
-
D.
lawReview
Indicates a relationship where an entity is associated with a law review, typically as its subject, source, or venue of publication within legal scholarship.
-
E.
stateUniversity
Indicates that an institution is a university that is publicly funded and operated under the authority of a state or similar governmental entity.
- F. None of above. chosen
Provenance (4 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb4f53f408190ae30e1a12721e7d7 |
completed | March 7, 2026, 5:17 a.m. |
| PD | Predicate disambiguation | batch_69abafe497a88190a1da6af2888b71b4 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb4f3fb9481908b54506dc2836124 |
completed | March 7, 2026, 5:17 a.m. |
Created at: March 4, 2026, 7:34 p.m.