Triple
T24868019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 Rugby League World Cup |
E622339
|
entity |
| Predicate | womenRunnerUp |
P2683
|
FINISHED |
| Object | New Zealand women's national rugby league team |
—
|
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: New Zealand women's national rugby league team | Statement: [2021 Rugby League World Cup, womenRunnerUp, New Zealand women's national rugby league team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenRunnerUp Context triple: [2021 Rugby League World Cup, womenRunnerUp, New Zealand women's national rugby league team]
-
A.
hasNationalRunnerUpFinishes
Indicates that an entity has achieved one or more second-place (runner-up) finishes in a national-level competition or championship.
-
B.
runnerUp
chosen
Indicates that one entity finished in second place relative to another in a competition or ranking.
-
C.
legRunner
Indicates that an entity functions as a runner or moving component that operates in conjunction with a leg or leg-like structure.
-
D.
gamesWonByRunnerUp
Indicates the number of games won by the runner-up in a competition or match.
-
E.
conferenceOfRunnerUp
Indicates the conference or league affiliation to which the runner-up entity belongs.
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:23 a.m.