Triple
T38037865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State Hecht–Calandra Act |
E949399
|
entity |
| Predicate | specifiesExam |
P79288
|
FINISHED |
| Object | Specialized High Schools Admissions Test |
—
|
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: Specialized High Schools Admissions Test | Statement: [New York State Hecht–Calandra Act, specifiesExam, Specialized High Schools Admissions Test]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specifiesExam Context triple: [New York State Hecht–Calandra Act, specifiesExam, Specialized High Schools Admissions Test]
-
A.
examType
Indicates the specific category or format of an exam associated with an assessment or testing event.
-
B.
examProvider
Indicates that one entity is the organization or individual responsible for creating, administering, or supplying an exam to another entity.
-
C.
coreExamName
chosen
Indicates the name or title assigned to a core examination within a given context or system.
-
D.
eligibilityExamFor
Indicates that one entity is an exam that determines or confers eligibility for another entity (such as a program, role, or benefit).
-
E.
examCategory
Indicates the classification or type of an exam within a defined set of exam categories.
- 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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: May 3, 2026, 4:20 p.m.