Triple
T14142163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namibia national rugby union team |
E350453
|
entity |
| Predicate | hasNeverWonRugbyWorldCupMatch |
P112970
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Namibia national rugby union team, hasNeverWonRugbyWorldCupMatch, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeverWonRugbyWorldCupMatch Context triple: [Namibia national rugby union team, hasNeverWonRugbyWorldCupMatch, true]
-
A.
playedInRugbyWorldCup
Indicates that an entity has participated as a player in at least one Rugby World Cup tournament.
-
B.
worldCupMatchesWithoutDefeat
Indicates that one entity has participated in World Cup matches without experiencing any defeats.
-
C.
RugbyWorldCupTitles
Indicates the number of Rugby World Cup championship titles an entity (typically a national team) has won.
-
D.
rugbyWorldCupWinner
Indicates the team that won a given edition of the Rugby World Cup.
-
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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de611ed3508190add37baa30d1d134 |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 12:48 a.m.