Triple
T28322976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Champions League 2019–20 |
E717327
|
entity |
| Predicate | originalFinalStadium |
P115926
|
FINISHED |
| Object | Atatürk Olympic Stadium |
—
|
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: Atatürk Olympic Stadium | Statement: [UEFA Champions League 2019–20, originalFinalStadium, Atatürk Olympic Stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalFinalStadium Context triple: [UEFA Champions League 2019–20, originalFinalStadium, Atatürk Olympic Stadium]
-
A.
lastStadium
Indicates that one stadium is the final or most recent stadium associated with a particular entity, such as a team, event, or player.
-
B.
venueOfFinalMatch
chosen
Indicates the location where the final match of a competition or tournament is held.
-
C.
finalHostStadiumClub
Indicates that a particular stadium club serves as the host venue for the final match or event in a competition or series.
-
D.
quarterFinalHostStadium
Indicates that a particular stadium is the venue where a quarter-final match is hosted.
-
E.
mainStadium
Indicates that a particular stadium serves as the primary or home stadium associated with an entity (such as a team, club, or organization).
- 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_69eff6e6c3b08190ad78de6ba7f04548 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69febce5877c8190a5e000ef5331ec88 |
completed | May 9, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69febad1cd588190abc7686bcb39a371 |
completed | May 9, 2026, 4:40 a.m. |
Created at: April 28, 2026, 12:26 a.m.