Triple
T17711017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaziantep Stadium |
E441564
|
entity |
| Predicate | homeVenueOf |
P890
|
FINISHED |
| Object | Gaziantep FK |
—
|
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: Gaziantep FK | Statement: [Gaziantep Stadium, homeVenueOf, Gaziantep FK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaziantep FK Context triple: [Gaziantep Stadium, homeVenueOf, Gaziantep FK]
-
A.
Gaziantep FK
chosen
Gaziantep FK is a professional Turkish football club based in the city of Gaziantep that competes in the country’s top leagues.
-
B.
Adana Demirspor
Adana Demirspor is a Turkish professional football club based in Adana that competes in the country’s top leagues and has a passionate local fan base.
-
C.
Kayseri Erciyesspor
Kayseri Erciyesspor is a Turkish professional football club based in Kayseri that has competed in the country’s top leagues under various names throughout its history.
-
D.
Akınspor
Akınspor was a Turkish football club that became one of the predecessor teams merged to form Eskişehirspor.
-
E.
Konyaspor
Konyaspor is a professional Turkish football club based in Konya that competes in the country’s top leagues and has a passionate regional fan base.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4729b5d3c819085613ed25dc6761d |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.