Triple
T6793721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuzla |
E155997
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Beşiktaş |
E31354
|
NE FINISHED |
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: Beşiktaş | Statement: [Tuzla, hasTwinTown, Beşiktaş]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beşiktaş Context triple: [Tuzla, hasTwinTown, Beşiktaş]
-
A.
Galatasaray SK
Galatasaray SK is a major Turkish multi-sport club best known for its successful football team, based in Istanbul.
-
B.
Fenerbahce SK
Fenerbahçe SK is one of Turkey’s most prominent multi-sport clubs, best known for its successful football team and large, passionate fan base.
-
C.
Besiktas JK
chosen
Beşiktaş JK is one of Turkey’s most prominent and historic multi-sport clubs, best known for its successful professional football team.
-
D.
Fatih Karagümrük S.K.
Fatih Karagümrük S.K. is a Turkish professional football club based in Istanbul that competes in the country’s top leagues and has attracted notable international managers and players.
-
E.
MKE Ankaragücü
MKE Ankaragücü is a professional Turkish sports club best known for its football team, traditionally representing the capital city Ankara in the country’s top leagues.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2af6f908190809e39b73894e513 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723cf2540819099b5bae43453aa92 |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:15 p.m.