Triple
T37360515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 UEFA Europa League Final |
E927563
|
entity |
| Predicate | venueSelectionMeetingCity |
P18587
|
FINISHED |
| Object | Prague |
—
|
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: Prague | Statement: [2013 UEFA Europa League Final, venueSelectionMeetingCity, Prague]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: venueSelectionMeetingCity Context triple: [2013 UEFA Europa League Final, venueSelectionMeetingCity, Prague]
-
A.
venueSelection
chosen
Indicates the relationship in which a specific venue is chosen or designated for an event, activity, or purpose among available options.
-
B.
hostCitySelectionLocation
Indicates the location where the selection of a host city takes place.
-
C.
hostCitySelection
Indicates the selection of a particular city to serve as the official host location for an event or activity.
-
D.
meetingCity
Indicates the city where a meeting or encounter between entities takes place.
-
E.
selectionCity
Indicates that a particular city has been chosen or designated from among multiple possible cities.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:16 p.m.