Triple
T37328076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Broad |
E926663
|
entity |
| Predicate | tookHatTrickVenue |
P112843
|
FINISHED |
| Object | Trent Bridge |
—
|
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: Trent Bridge | Statement: [Stuart Broad, tookHatTrickVenue, Trent Bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookHatTrickVenue Context triple: [Stuart Broad, tookHatTrickVenue, Trent Bridge]
-
A.
significantVenueFor
Indicates that a venue plays an important or notable role in relation to a particular entity, event, or activity.
-
B.
holdsTournamentsIn
Indicates that an entity organizes or conducts tournaments at or within a specified location.
-
C.
hasSportsTeamVenueFor
Indicates that a venue serves as the home or hosting location for a particular sports team.
-
D.
hasVenueFor
chosen
Indicates that one entity provides or serves as the location or setting where an event, activity, or function takes place for another entity.
-
E.
playedAtStadium
Indicates that an event or game took place at, or was hosted in, a specific 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.