Triple
T21531770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | England–Wales football rivalry |
E531246
|
entity |
| Predicate | worldCupMatchResult |
P31078
|
FINISHED |
| Object | Wales 0–3 England |
—
|
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: Wales 0–3 England | Statement: [England–Wales football rivalry, worldCupMatchResult, Wales 0–3 England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldCupMatchResult Context triple: [England–Wales football rivalry, worldCupMatchResult, Wales 0–3 England]
-
A.
worldCupFinalScore
chosen
Indicates the final score outcome of a FIFA World Cup match, typically specifying the number of goals each team scored by the end of the final game.
-
B.
resultOfMatch
Indicates that one entity is the outcome or product produced by a particular match or matching event involving another entity.
-
C.
worldCupRunnersUpFinishes
Indicates the number of times an entity has finished as the runner-up in the FIFA World Cup.
-
D.
leagueCupResult
Indicates the outcome or standing a team or participant achieved in a specific league cup competition.
-
E.
lastInternationalResult
Indicates the most recent outcome or performance result an entity has achieved in an international context or competition.
- 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_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. |
Created at: April 16, 2026, 6:27 p.m.