Triple
T1690955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrés Iniesta |
E36546
|
entity |
| Predicate | helpedTeamWin |
P20666
|
FINISHED |
| Object | 2010 FIFA World Cup with Spain |
—
|
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: 2010 FIFA World Cup with Spain | Statement: [Andrés Iniesta, helpedTeamWin, 2010 FIFA World Cup with Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedTeamWin Context triple: [Andrés Iniesta, helpedTeamWin, 2010 FIFA World Cup with Spain]
-
A.
winsWithTeam
chosen
Indicates that an entity achieves a victory as a member of, or in conjunction with, a specific team.
-
B.
winningTeam
Indicates which team is the victor in a given competition, game, or contest.
-
C.
victoryIn
Indicates that one entity achieves a win or success in a specific contest, event, or competitive context involving another entity.
-
D.
helpedTransformTeam
Indicates that one entity played a significant role in changing or improving the performance, dynamics, or structure of a team.
-
E.
managerWinningTeam
Indicates that the subject is the manager or coach of the team that won a particular competition or match.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69aa61b71cec8190b273588051058ebd |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.