Triple
T2993314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MKE Ankaragücü |
E81006
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Yenimahalle, Ankara |
E235703
|
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: Yenimahalle, Ankara | Statement: [MKE Ankaragücü, location, Yenimahalle, Ankara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yenimahalle, Ankara Context triple: [MKE Ankaragücü, location, Yenimahalle, Ankara]
-
A.
Yenimahalle
chosen
Yenimahalle is a major district of Ankara, Turkey, known for hosting key government institutions and residential areas within the capital.
-
B.
Çankaya
Çankaya is a central district of Ankara, Turkey, known for housing key government institutions, foreign embassies, and major national landmarks.
-
C.
Halkalı
Halkalı is a western district of Istanbul, Turkey, known as a major residential area and transport hub featuring significant rail and road connections.
-
D.
Ataşehir
Ataşehir is a modern residential and business district on the Asian side of Istanbul, known for its high-rise developments and financial centers.
-
E.
Sultanbeyli
Sultanbeyli is a densely populated, predominantly residential district on the Asian side of Istanbul, known for its rapid urbanization and working-class character.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e12c5c8190af7cc20e4c48bf45 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b109061684819086777d3b871c94f8 |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:59 p.m.