Triple
T38008954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1974 UEFA Cup Final |
E948310
|
entity |
| Predicate | awayTeamSecondLeg |
P189963
|
FINISHED |
| Object | Tottenham Hotspur F.C. |
—
|
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: Tottenham Hotspur F.C. | Statement: [1974 UEFA Cup Final, awayTeamSecondLeg, Tottenham Hotspur F.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awayTeamSecondLeg Context triple: [1974 UEFA Cup Final, awayTeamSecondLeg, Tottenham Hotspur F.C.]
-
A.
awayLeagueTeam
Indicates the team that is playing as the visiting (away) side in a league match.
-
B.
awayTeamGoalsSecondHalf
Indicates the number of goals scored by the away team during the second half of a match.
-
C.
awayTeam
Indicates that an entity is designated as the visiting or non-home team in a competitive event or match.
-
D.
homeTeamFirstLeg
Indicates that the referenced team is playing at home in the first leg of a multi-leg matchup or series.
-
E.
awaySecondHalfPoints
Indicates the number of points scored by the away team during the second half of a game.
- 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_69f76efb4b10819092c8c2ba28ac06a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fc4747b06c8190a3ea5331f02eedad |
completed | May 7, 2026, 8:03 a.m. |
Created at: May 3, 2026, 4:20 p.m.