Triple
T25904175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Women’s Euro 2022 Golden Boot |
E652704
|
entity |
| Predicate | finalMatchCityOfTournament |
P25324
|
FINISHED |
| Object | London |
—
|
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: London | Statement: [UEFA Women’s Euro 2022 Golden Boot, finalMatchCityOfTournament, London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalMatchCityOfTournament Context triple: [UEFA Women’s Euro 2022 Golden Boot, finalMatchCityOfTournament, London]
-
A.
finalMatchCity
chosen
Indicates the city where the final match of a competition or tournament takes place.
-
B.
venueOfFinalMatch
Indicates the location where the final match of a competition or tournament is held.
-
C.
finalHostCity
Indicates the city that ultimately hosts or is selected to host a particular event or competition.
-
D.
homeCityOfRunnerUpTeam
Indicates the city that serves as the home base for the team that finished in second place in a competition or event.
-
E.
lastHostCity
Indicates that one entity is the most recent city to have hosted the event or activity associated with the other entity.
- 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 22, 2026, 8:26 a.m.