Triple
T8168731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of New Rochelle |
E190760
|
entity |
| Predicate | statusAfter2019 |
P81069
|
FINISHED |
| Object | institution no longer operates academic programs |
—
|
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: institution no longer operates academic programs | Statement: [College of New Rochelle, statusAfter2019, institution no longer operates academic programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfter2019 Context triple: [College of New Rochelle, statusAfter2019, institution no longer operates academic programs]
-
A.
statusAfter2020
Indicates the condition or state of an entity as it exists after the year 2020.
-
B.
statusAfter2018
Indicates the condition or state of something specifically during the period after the year 2018.
-
C.
statusAfter2017
Indicates the status or condition an entity has specifically after the year 2017.
-
D.
statusAfter1995
Indicates the condition or state of an entity specifically in the period after the year 1995.
-
E.
statusAfter1996
Indicates the status or condition of an entity as it exists after the year 1996.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb466abfe48190b4eb2f23b1e28668 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb40a017608190b6b48cf60335fa8d |
completed | March 31, 2026, 3:33 a.m. |
Created at: March 30, 2026, 5:39 p.m.