Triple
T33431690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pool B (2015 Rugby World Cup) |
E856146
|
entity |
| Predicate | didNotQualifyForQuarterFinals |
P67201
|
FINISHED |
| Object | Japan national rugby union 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: Japan national rugby union team | Statement: [Pool B (2015 Rugby World Cup), didNotQualifyForQuarterFinals, Japan national rugby union team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: didNotQualifyForQuarterFinals Context triple: [Pool B (2015 Rugby World Cup), didNotQualifyForQuarterFinals, Japan national rugby union team]
-
A.
eliminatedInGroupStage
chosen
Indicates that an entity was removed from further competition during the initial group stage of a tournament or event.
-
B.
didNotPlayInTournament
Indicates that the specified entity did not participate as a player in the referenced tournament.
-
C.
didNotWinAgainst
Indicates that one entity competed against another and failed to achieve a victory over them.
-
D.
semifinalLoser
Indicates that an entity lost in a semifinal round of a competition or tournament.
-
E.
reachedGrandSlamQuarterfinal
Indicates that a player has advanced to the quarterfinal round of a Grand Slam tennis tournament.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e48010788190bd60e56b378f4b4a |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.