Triple
T29861251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazell Stand |
E758321
|
entity |
| Predicate | isPartOfSportsVenueUsedBy |
P125043
|
FINISHED |
| Object | Newport RFC |
—
|
NE NERFINISHED |
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: Newport RFC | Statement: [Hazell Stand, isPartOfSportsVenueUsedBy, Newport RFC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfSportsVenueUsedBy Context triple: [Hazell Stand, isPartOfSportsVenueUsedBy, Newport RFC]
-
A.
isPartOfSportsVenue
chosen
Indicates that one entity is a component, section, or area contained within a larger sports venue.
-
B.
sportsVenueUse
Indicates that a sports venue is used or designated for hosting a particular sport, team, or sporting event.
-
C.
isProfessionalSportsVenue
Indicates that a venue is primarily used for hosting professional-level sporting events or competitions.
-
D.
hasProfessionalSportsVenue
Indicates that one entity possesses or hosts a venue specifically used for professional sports events.
-
E.
sportsVenueFor
Indicates that a venue is used as the location or facility where a particular sport or sporting event takes place.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
Created at: April 29, 2026, 5:49 p.m.