Triple
T25368296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan national rugby union team |
E632862
|
entity |
| Predicate | bestRugbyWorldCupResult |
P112968
|
FINISHED |
| Object | quarter-finals |
—
|
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: quarter-finals | Statement: [Japan national rugby union team, bestRugbyWorldCupResult, quarter-finals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestRugbyWorldCupResult Context triple: [Japan national rugby union team, bestRugbyWorldCupResult, quarter-finals]
-
A.
bestRugbyWorldCupStage
chosen
Indicates the stage of the Rugby World Cup at which an entity achieved its best (furthest or most successful) performance.
-
B.
rugbyWorldCupWinner
Indicates the team that won a given edition of the Rugby World Cup.
-
C.
worldRugbyRankingBest
Indicates that the subject entity holds the highest (best) position in the World Rugby rankings among the compared entities.
-
D.
RugbyWorldCupTitleYear
Indicates the year in which a particular Rugby World Cup title was won.
-
E.
worldRugbyRankingsBestRank
Indicates the highest (best) position an entity has ever achieved in the World Rugby rankings.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4a10fcebc8190abea11247d65a276 |
completed | May 1, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:38 p.m.