Triple
T2252815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Globe Life Field |
E49652
|
entity |
| Predicate | hasClubAreas |
P5383
|
FINISHED |
| Object | premium club seating areas |
—
|
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: premium club seating areas | Statement: [Globe Life Field, hasClubAreas, premium club seating areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClubAreas Context triple: [Globe Life Field, hasClubAreas, premium club seating areas]
-
A.
hasClub
Indicates that an entity is associated with or belongs to a particular club.
-
B.
hasServiceAreas
Indicates that an entity provides services within, or is operational across, specific geographic or functional areas.
-
C.
hasClubInCountry
Indicates that a club is located in, based in, or operates within a specified country.
-
D.
hasRecreationalArea
chosen
Indicates that an entity includes, provides, or is associated with a designated space intended for leisure or recreational activities.
-
E.
hasLandmarkArea
Indicates that a specified area is designated as the landmark area associated with a particular entity or 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc11eb2708190bc5a3d152a3bb133 |
completed | March 7, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69abbdb34c148190b51e99f540f97204 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.