Triple
T38008983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1974 UEFA Cup Final |
E948310
|
entity |
| Predicate | venueFirstLeg |
P16061
|
FINISHED |
| Object | White Hart Lane, London, England |
—
|
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: White Hart Lane, London, England | Statement: [1974 UEFA Cup Final, venueFirstLeg, White Hart Lane, London, England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: venueFirstLeg Context triple: [1974 UEFA Cup Final, venueFirstLeg, White Hart Lane, London, England]
-
A.
homeVenueTeam1City
Indicates that a specific city serves as the home venue location for the first team in a given context or event.
-
B.
gameVenue
Indicates the location or facility where a game or match is held.
-
C.
sportsVenueLocatedIn
Indicates that a sports venue is geographically situated within a specified location or administrative area.
-
D.
Game1Venue
chosen
Indicates the venue or location where the first game (Game1) of a series or event is held.
-
E.
homeVenueTeam2City
Indicates that a second home venue team is based in or associated with a particular city.
- 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_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. |
Created at: May 3, 2026, 4:20 p.m.