Triple
T1623118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spain national football team |
E35077
|
entity |
| Predicate | worldCupFinalScore |
P31078
|
FINISHED |
| Object | 1–0 after extra time |
—
|
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: 1–0 after extra time | Statement: [Spain national football team, worldCupFinalScore, 1–0 after extra time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldCupFinalScore Context triple: [Spain national football team, worldCupFinalScore, 1–0 after extra time]
-
A.
bestWorldCupResult
Indicates the most successful performance or highest achievement an entity has attained in any FIFA World Cup tournament.
-
B.
wonFAcup
Indicates that the subject has won the FA Cup football competition.
-
C.
penaltyShootoutScore
Indicates the number of goals each side scored during a penalty shootout used to decide a tied match.
-
D.
penaltyShootoutWinner
Indicates that one competitor or team is the winner of a match decided by a penalty shootout.
-
E.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf4a0ef748190ae52b9656474c0ef |
completed | March 6, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69a907c731808190a1d998155041b3c1 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a99ca48c888190876500df1a885c11 |
completed | March 5, 2026, 3:09 p.m. |
Created at: March 4, 2026, 7:28 p.m.