Triple
T10253583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pool A (2015 Rugby World Cup) |
E240404
|
entity |
| Predicate | qualificationSpotsForNextWorldCup |
P24783
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Pool A (2015 Rugby World Cup), qualificationSpotsForNextWorldCup, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: qualificationSpotsForNextWorldCup Context triple: [Pool A (2015 Rugby World Cup), qualificationSpotsForNextWorldCup, 3]
-
A.
qualifyingSlotsForWorldCup
chosen
Indicates the number or allocation of qualification spots available for the World Cup.
-
B.
qualificationSpotsForOlympics
Indicates the number of available qualification positions that grant entry to the Olympic Games.
-
C.
fifaWorldCupQualifyingParticipation
Indicates that an entity took part in the qualification stage for a FIFA World Cup tournament.
-
D.
fifaWorldCupQuarterFinalAppearances
Indicates the number of times an entity has reached the quarter-final stage of the FIFA World Cup tournament.
-
E.
WorldCupSemiFinalAppearances
Indicates the number of times an entity has reached the semi-final stage of a FIFA World Cup tournament.
- 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_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. |
Created at: April 6, 2026, 11:29 a.m.