Triple
T2435524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centurion |
E52950
|
entity |
| Predicate | sportsVenueFor |
P39293
|
FINISHED |
| Object | cricket |
—
|
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: cricket | Statement: [Centurion, sportsVenueFor, cricket]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportsVenueFor Context triple: [Centurion, sportsVenueFor, cricket]
-
A.
sportsVenueLocatedIn
Indicates that a sports venue is geographically situated within a specified location or administrative area.
-
B.
ownsSportsVenue
Indicates that one entity possesses legal ownership or controlling property rights over a sports venue used for athletic or sporting events.
-
C.
sportsFacility
Indicates that one entity is a sports facility where sports or physical activities can take place for the other entity.
-
D.
Game4Venue
Indicates that a particular game is scheduled to take place at a specific venue.
-
E.
hasSportsTeamVenueFor
Indicates that a venue serves as the home or hosting location for a particular sports team.
- F. None of above. chosen
Provenance (4 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcebf7cac8190889e6890d72c256c |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5ac11b081908ce6a506e81a742a |
completed | March 7, 2026, 6:29 a.m. |
| PDg | Predicate description generation | batch_69abcebe7dd08190b197a2a0e78787e3 |
completed | March 7, 2026, 7:07 a.m. |
Created at: March 6, 2026, 9:43 p.m.