Triple
T2451422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph J. O’Donnell Field |
E53712
|
entity |
| Predicate | onCampus |
P269
|
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: [Joseph J. O’Donnell Field, onCampus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onCampus Context triple: [Joseph J. O’Donnell Field, onCampus, true]
-
A.
campusLife
Indicates the overall experience, activities, and social environment associated with being part of a particular campus or educational institution.
-
B.
campus
chosen
Indicates that an entity is located on, associated with, or taking place within a particular campus.
-
C.
cityCampus
Indicates that a campus is located within or associated with a particular city.
-
D.
campusUse
Indicates that something is intended for, associated with, or occurring in the use or activities of a campus or campus community.
-
E.
cityCampusServes
Indicates that a city campus provides services, resources, or support to a particular population, area, or 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0aed2688190a18fe66b98d80e0b |
completed | March 7, 2026, 7:15 a.m. |
Created at: March 6, 2026, 9:43 p.m.