Triple
T24580214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women's Rugby League World Cup |
E608226
|
entity |
| Predicate | inauguralHostNation |
P67601
|
FINISHED |
| Object | Great Britain |
—
|
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: Great Britain | Statement: [Women's Rugby League World Cup, inauguralHostNation, Great Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inauguralHostNation Context triple: [Women's Rugby League World Cup, inauguralHostNation, Great Britain]
-
A.
inauguralHostNationTeam
Indicates that a team served as the host nation’s representative in the inaugural edition of a given event or competition.
-
B.
inauguralEditionHostCountry
chosen
Indicates the country that hosted the very first (inaugural) edition of a recurring event or competition.
-
C.
inauguralHostCity
Indicates the city that first hosted a particular event, competition, or series.
-
D.
worldCupHost
Indicates that one entity serves as the host country or location for a particular FIFA World Cup tournament.
-
E.
lastHostCountry
Indicates the country that most recently hosted a particular event, activity, or entity.
- 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.