Triple
T2986835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ankara Metro |
E80644
|
entity |
| Predicate | servesDistrict |
P82
|
FINISHED |
| Object | Keçiören |
E367098
|
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: Keçiören | Statement: [Ankara Metro, servesDistrict, Keçiören]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keçiören Context triple: [Ankara Metro, servesDistrict, Keçiören]
-
A.
Keçiören
chosen
Keçiören is a densely populated metropolitan district and municipality of Ankara, known as one of the capital city’s major residential and commercial areas.
-
B.
Kalecik
Kalecik is a district and town in central Turkey known for its historic architecture and the locally famous Kalecik Karası grape variety.
-
C.
Çorlu
Çorlu is a town in Turkey’s Tekirdağ Province in Eastern Thrace, historically notable as the place where Ottoman Sultan Selim I died.
-
D.
Konyaaltı
Konyaaltı is a coastal district of Antalya in southern Turkey, known for its long pebble beach, tourism facilities, and proximity to the Taurus Mountains.
-
E.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c88f608190bf734e0b744bf3d1 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb6216ac8190950d789de6e36aa6 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 8, 2026, 2:59 p.m.