Triple
T1460126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red Zone |
E31491
|
entity |
| Predicate | associatedInstitutionType |
P29027
|
FINISHED |
| Object | private research university |
—
|
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: private research university | Statement: [The Red Zone, associatedInstitutionType, private research university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedInstitutionType Context triple: [The Red Zone, associatedInstitutionType, private research university]
-
A.
associatedInstitution
Indicates that an entity has a formal connection or affiliation with a particular institution.
-
B.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
-
C.
relatedInstitution
Indicates that there is an institutional connection or association between two entities, such as affiliation, partnership, or organizational linkage.
-
D.
involvesInstitution
Indicates that an action, event, or relationship includes or is associated with an institution as a participating party.
-
E.
recognizedAsInstitutionBy
Indicates that an entity is acknowledged or accepted as an institution by a specified recognizing party.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59d6dd88190b8ff3bda90aef7e2 |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47ec5108190b1772237f2e5d90b |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8 p.m.