Triple
T38008953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1974 UEFA Cup Final |
E948310
|
entity |
| Predicate | homeTeamSecondLeg |
P189962
|
FINISHED |
| Object | Feyenoord |
—
|
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: Feyenoord | Statement: [1974 UEFA Cup Final, homeTeamSecondLeg, Feyenoord]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeTeamSecondLeg Context triple: [1974 UEFA Cup Final, homeTeamSecondLeg, Feyenoord]
-
A.
homeTeamFirstLeg
Indicates that the referenced team is playing at home in the first leg of a multi-leg matchup or series.
-
B.
stateOfHomeTeam2
Indicates the current status or condition of the second home team in a given context or event.
-
C.
locationTeam2Home
Indicates that the specified location serves as the home venue or home ground for the second team involved in the context.
-
D.
homeTeamGoalsSecondHalf
Indicates the number of goals scored by the home team during the second half of a match.
-
E.
awayTeamGoalsSecondHalf
Indicates the number of goals scored by the away team during the second half of a match.
- 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.