Triple
T34871450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Shilton |
E1005761
|
entity |
| Predicate | playedInMatch |
P192006
|
FINISHED |
| Object | England vs Argentina 1986 FIFA World Cup quarter-final |
—
|
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: England vs Argentina 1986 FIFA World Cup quarter-final | Statement: [Peter Shilton, playedInMatch, England vs Argentina 1986 FIFA World Cup quarter-final]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedInMatch Context triple: [Peter Shilton, playedInMatch, England vs Argentina 1986 FIFA World Cup quarter-final]
-
A.
scoredInMatch
Indicates that an entity (typically a player or team) scored during a particular match.
-
B.
playedInTournament
Indicates that an entity participated as a competitor or player in a specific tournament.
-
C.
tookPlaceInMatch
Indicates that an event or action occurred during a specific match.
-
D.
playedWith
Indicates that one entity engaged in play or a playful activity together with another entity.
-
E.
matchesPlayedIn
Indicates that a particular match was played in a specified location, event, or competition context.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
| PDg | Predicate description generation | batch_69fcf1b241888190a243f07051c71383 |
completed | May 7, 2026, 8:10 p.m. |
Created at: May 3, 2026, 4 p.m.