Triple
T10253543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina national rugby union team |
E240403
|
entity |
| Predicate | worldCupParticipationFrequency |
P93209
|
FINISHED |
| Object | every Rugby World Cup since 1987 |
—
|
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: every Rugby World Cup since 1987 | Statement: [Argentina national rugby union team, worldCupParticipationFrequency, every Rugby World Cup since 1987]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldCupParticipationFrequency Context triple: [Argentina national rugby union team, worldCupParticipationFrequency, every Rugby World Cup since 1987]
-
A.
worldCupPlayed
Indicates that a World Cup tournament has taken place or been held (typically at a specific time and/or location).
-
B.
worldCupAppearances
Indicates the number of times an entity has participated in a FIFA World Cup tournament.
-
C.
WorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
-
D.
FIFAWorldCupParticipation
Indicates that an entity has taken part in at least one edition of the FIFA World Cup tournament.
-
E.
firstWorldCupParticipation
Indicates the event or year in which an entity (typically a team or player) took part in a World Cup tournament for the very first time.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d328272c8190a3548d7f7f38cfc4 |
completed | April 7, 2026, 9:49 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ebd6c88190a1f3f4a72a99d6fe |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d32741888190928b045e2241cfac |
completed | April 7, 2026, 9:49 a.m. |
Created at: April 6, 2026, 11:29 a.m.