Triple
T33454840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma'a Nonu |
E856743
|
entity |
| Predicate | playedInRugbyWorldCupFinal |
P186399
|
FINISHED |
| Object | 2011 Rugby World Cup Final |
—
|
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: 2011 Rugby World Cup Final | Statement: [Ma'a Nonu, playedInRugbyWorldCupFinal, 2011 Rugby World Cup Final]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedInRugbyWorldCupFinal Context triple: [Ma'a Nonu, playedInRugbyWorldCupFinal, 2011 Rugby World Cup Final]
-
A.
playedInRugbyWorldCup
Indicates that an entity has participated as a player in at least one Rugby World Cup tournament.
-
B.
rugbyWorldCupAppearance
Indicates that an entity has participated in at least one edition of the Rugby World Cup.
-
C.
hasParticipatedInEveryRugbyWorldCupSince
Indicates that the subject has taken part in each Rugby World Cup tournament from the specified year onward, without missing any edition.
-
D.
RugbyWorldCupTitles
Indicates the number of Rugby World Cup championship titles an entity (typically a national team) has won.
-
E.
RugbyWorldCupTitleYear
Indicates the year in which a particular Rugby World Cup title was won.
- 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7cec398ac819081c954a993c323ee |
completed | May 3, 2026, 10:40 p.m. |
Created at: May 1, 2026, 1:37 a.m.