Triple
T21531767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | England–Wales football rivalry |
E531246
|
entity |
| Predicate | worldCupMatchDate |
P144736
|
FINISHED |
| Object | 2022-11-29 |
—
|
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: 2022-11-29 | Statement: [England–Wales football rivalry, worldCupMatchDate, 2022-11-29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldCupMatchDate Context triple: [England–Wales football rivalry, worldCupMatchDate, 2022-11-29]
-
A.
worldCupCategory
Indicates that an entity is classified under a specific category or type related to the FIFA World Cup.
-
B.
finalMatchDate
Indicates the calendar date on which the final or deciding match in a series, tournament, or competition takes place.
-
C.
worldCupHostYear
Indicates the year in which a particular country or location served as the host of the FIFA World Cup tournament.
-
D.
worldCupEdition
Indicates the specific edition or instance of the FIFA World Cup tournament associated with a given event, team, or record.
-
E.
worldCupTitleYear
Indicates the specific year in which an entity won or held a FIFA World Cup title.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0a0e7c8190bbb7ed5c4dfe33af |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:27 p.m.