Triple
T33347652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pool of Death (2015 Rugby World Cup) |
E853842
|
entity |
| Predicate | numberOfQuarterFinalPlaces |
P204034
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Pool of Death (2015 Rugby World Cup), numberOfQuarterFinalPlaces, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfQuarterFinalPlaces Context triple: [Pool of Death (2015 Rugby World Cup), numberOfQuarterFinalPlaces, 2]
-
A.
numberOfSemiFinals
Indicates the count of semi-final rounds or appearances associated with an entity in a given context.
-
B.
hasQuarterFinalStage
Indicates that a competition or event includes a quarter-final stage in its structure.
-
C.
numberOfFinalTournamentTeams
Indicates the total count of teams that participate in the final stage of a tournament.
-
D.
worldCupQuarterFinals
Indicates that an entity participated in or is associated with a quarter-final match of the FIFA World Cup.
-
E.
numberOfParticipatingTeamsInQualifying
Indicates the total number of teams that take part in the qualifying stage of a competition or event.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a030f1480148190a5e8c8926ded252c |
completed | May 12, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_6a030e7f5fa481909696733defefcc20 |
completed | May 12, 2026, 11:26 a.m. |
| PDg | Predicate description generation | batch_6a030f139b688190b3611d96b091c09e |
completed | May 12, 2026, 11:29 a.m. |
Created at: May 1, 2026, 1:34 a.m.