Triple
T8945567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westchester campus |
E213212
|
entity |
| Predicate | isJesuitInstitution |
P86477
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Westchester campus, isJesuitInstitution, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isJesuitInstitution Context triple: [Westchester campus, isJesuitInstitution, true]
-
A.
hasFlagshipInstitution
Indicates that one entity serves as the primary or leading institution associated with another entity, such as an organization, system, or network.
-
B.
representsEducationalInstitution
Indicates that one entity serves as an educational institution for, or in relation to, another entity.
-
C.
hasInstitutionalCharacter
Indicates that something possesses qualities, status, or attributes associated with a formal institution or institutional framework.
-
D.
isPublicInstitutionCampus
Indicates that a given campus belongs to or is operated by a public (state- or government-run) institution.
-
E.
isHBCUIn
Indicates that a historically Black college or university (HBCU) is located within a specified geographic or political region.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66db998c8190999a7a686bbdda1f |
completed | April 1, 2026, 12:29 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed5267c8190a43feb2a2f3df1ec |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc60e0d7208190966797ce5f95fe49 |
completed | April 1, 2026, 12:03 a.m. |
Created at: March 30, 2026, 6:59 p.m.