Triple
T16627006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Stand |
E403973
|
entity |
| Predicate | partOfSportVenueType |
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: [North Stand, partOfSportVenueType, football stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfSportVenueType Context triple: [North Stand, partOfSportVenueType, football stadium]
-
A.
hasSportsVenueType
chosen
Indicates that a sports venue is classified as being of a specific type or category (e.g., stadium, arena, court).
-
B.
sportsVenueFor
Indicates that a venue is used as the location or facility where a particular sport or sporting event takes place.
-
C.
gameVenue
Indicates the location or facility where a game or match is held.
-
D.
sportsFacility
Indicates that one entity is a sports facility where sports or physical activities can take place for the other entity.
-
E.
typicalVenueStadium
Indicates that the usual or characteristic venue for the referenced activity, event, or entity is a stadium.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e2683481908c9a5ed895a09a6e |
completed | April 18, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.