Triple
T36509049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bokke |
E899848
|
entity |
| Predicate | sharesRecordForMostRugbyWorldCupsWith |
P202573
|
FINISHED |
| Object | New Zealand 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: New Zealand national rugby union team | Statement: [Bokke, sharesRecordForMostRugbyWorldCupsWith, New Zealand national rugby union team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesRecordForMostRugbyWorldCupsWith Context triple: [Bokke, sharesRecordForMostRugbyWorldCupsWith, New Zealand national rugby union team]
-
A.
RugbyWorldCupTitles
Indicates the number of Rugby World Cup championship titles an entity (typically a national team) has won.
-
B.
sharesRugbyWorldCupTryRecordWith
Indicates that two entities hold the same record for the number of tries scored in Rugby World Cup competition.
-
C.
RugbyWorldCupTitleYear
Indicates the year in which a particular Rugby World Cup title was won.
-
D.
rugbyWorldCupWinner
Indicates the team that won a given edition of the Rugby World Cup.
-
E.
playedInRugbyWorldCup
Indicates that an entity has participated as a player in at least one Rugby World Cup tournament.
- 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a009273634c8190b5b9c87053b56760 |
completed | May 10, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_6a0092171230819096e4274dd97e0410 |
completed | May 10, 2026, 2:11 p.m. |
| PDg | Predicate description generation | batch_6a009272afc88190a041b7e16d851599 |
completed | May 10, 2026, 2:13 p.m. |
Created at: May 3, 2026, 4:10 p.m.