Triple
T36846791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America Stand |
E910569
|
entity |
| Predicate | isWithinSportsVenueType |
P25287
|
FINISHED |
| Object | football stadium |
—
|
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: football stadium | Statement: [America Stand, isWithinSportsVenueType, football stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWithinSportsVenueType Context triple: [America Stand, isWithinSportsVenueType, football stadium]
-
A.
isWithinSportsFacility
Indicates that one entity is located inside the boundaries of a sports facility or complex.
-
B.
isPartOfSportsVenue
Indicates that one entity is a component, section, or area contained within a larger sports venue.
-
C.
hasSportsVenueType
chosen
Indicates that a sports venue is classified as being of a specific type or category (e.g., stadium, arena, court).
-
D.
isVenueWithin
Indicates that one venue is geographically located inside the boundaries or area of another place or region.
-
E.
isProfessionalSportsVenue
Indicates that a venue is primarily used for hosting professional-level sporting events or competitions.
- 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.