Triple
T26759533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Valdano |
E674760
|
entity |
| Predicate | opponentInScoredMatch |
P86168
|
FINISHED |
| Object | West Germany national football team |
—
|
NE NERFINISHED |
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: West Germany national football team | Statement: [Jorge Valdano, opponentInScoredMatch, West Germany national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opponentInScoredMatch Context triple: [Jorge Valdano, opponentInScoredMatch, West Germany national football team]
-
A.
opponentFinalScore
Indicates the final score achieved by an opposing participant or team in a contest or game.
-
B.
scoredInMatch
Indicates that an entity (typically a player or team) scored during a particular match.
-
C.
recordOpponent
Indicates that one entity is documented or registered as the opposing party or competitor of another entity.
-
D.
wasOpponentOf
chosen
Indicates that one entity competed or conflicted against another as an adversary in some contest, game, or confrontation.
-
E.
scoredFor
Indicates that one entity achieved points or a score on behalf of another entity, such as a player scoring for a team.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f618dafb6c8190b4f53a7fcbf967e3 |
completed | May 2, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 3:57 a.m.