Triple
T1923972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman, Oklahoma |
E40186
|
entity |
| Predicate | isUniversityCity |
P4747
|
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: [Norman, Oklahoma, isUniversityCity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUniversityCity Context triple: [Norman, Oklahoma, isUniversityCity, true]
-
A.
isCollegeTownOf
chosen
Indicates that a town or city is primarily known for and significantly shaped by the presence of a particular college or university.
-
B.
cityOfInstitution
Indicates the city in which an institution is located or based.
-
C.
isUrbanUniversity
Indicates that a university is located in, or primarily associated with, an urban (city) environment.
-
D.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
-
E.
hasPublicUniversityCampus
Indicates that a public university maintains or operates a campus at the specified location.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2359ca0819082b514a34c469b21 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafed2ab481908920334e77b1021b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.