Triple
T38008964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1974 UEFA Cup Final |
E948310
|
entity |
| Predicate | secondLegCity |
P185627
|
FINISHED |
| Object | Rotterdam |
—
|
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: Rotterdam | Statement: [1974 UEFA Cup Final, secondLegCity, Rotterdam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondLegCity Context triple: [1974 UEFA Cup Final, secondLegCity, Rotterdam]
-
A.
destinationCity
Indicates the city to which an entity is traveling, being sent, or ultimately directed.
-
B.
destinationAirportCity2
Indicates the city of the airport that serves as the second (or alternative) destination in a travel or flight-related context.
-
C.
secondaryCityTerminus
Indicates that a city serves as a secondary (non-primary) terminus or endpoint for a given route or line.
-
D.
secondMetropolitan
Indicates that one entity is the second metropolitan (e.g., second-ranking or second-designated metropolitan authority or see) in relation to another entity.
-
E.
secondEditionHostCity
chosen
Indicates the city that hosted the second edition of a recurring event or competition.
- 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_69ffbf84f4948190b41a7bba07ae61ec |
completed | May 9, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69ffbf0a59f88190870dbe25d8a63a00 |
completed | May 9, 2026, 11:11 p.m. |
Created at: May 3, 2026, 4:20 p.m.