Triple
T24469853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Crimson Crew |
E617068
|
entity |
| Predicate | institutionTypeAffiliation |
P29027
|
FINISHED |
| Object | private 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 university | Statement: [The Crimson Crew, institutionTypeAffiliation, private university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: institutionTypeAffiliation Context triple: [The Crimson Crew, institutionTypeAffiliation, private university]
-
A.
associatedInstitutionType
chosen
Indicates the type or category of institution with which an entity is associated.
-
B.
academicAffiliationOfInstitution
Indicates that an institution is academically affiliated with, or formally connected to, another institution.
-
C.
associatedInstitution
Indicates that an entity has a formal connection or affiliation with a particular institution.
-
D.
fieldAssociatedWithInstitution
Indicates that a particular field (such as a discipline, area of study, or professional domain) is associated with, belongs to, or is practiced within a specific institution.
-
E.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
- 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_69e2d7f197588190889a03e620558059 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f299422cdc8190bc8d56243b7bc313 |
completed | April 29, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:20 a.m.