Triple
T24580472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stade Gilbert Brutus |
E608232
|
entity |
| Predicate | hasEventHosted |
P50694
|
FINISHED |
| Object | Rugby League World Cup matches |
—
|
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: Rugby League World Cup matches | Statement: [Stade Gilbert Brutus, hasEventHosted, Rugby League World Cup matches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEventHosted Context triple: [Stade Gilbert Brutus, hasEventHosted, Rugby League World Cup matches]
-
A.
hasHostedVenue
chosen
Indicates that a particular venue has served as the location for hosting a specific event or activity.
-
B.
hostedDuring
Indicates that one entity hosted, organized, or held another entity (such as an event or activity) within a specified time period.
-
C.
hasHostedSport
Indicates that a place or organization has served as the venue or organizer for one or more sporting events.
-
D.
hasBeenHostedIn
Indicates that an event, show, or activity took place or was conducted at a particular location or venue in the past.
-
E.
alsoHostsEventsIn
Indicates that an entity, in addition to its primary location or context, serves as a venue or place where events are held in another specified location.
- 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a97fde9c81909d8de91b6358a015 |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.