Triple
T7141734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tekirdağ Province |
E166458
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Çorlu |
E158971
|
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: Çorlu | Statement: [Tekirdağ Province, hasCity, Çorlu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Çorlu Context triple: [Tekirdağ Province, hasCity, Çorlu]
-
A.
Çorlu
chosen
Çorlu is a town in Turkey’s Tekirdağ Province in Eastern Thrace, historically notable as the place where Ottoman Sultan Selim I died.
-
B.
Keçiören
Keçiören is a densely populated metropolitan district and municipality of Ankara, known as one of the capital city’s major residential and commercial areas.
-
C.
Çankırı
Çankırı is a small provincial city in north-central Turkey known for its historical fortifications, salt mines, and location on the Anatolian plateau.
-
D.
Kalecik
Kalecik is a district and town in central Turkey known for its historic architecture and the locally famous Kalecik Karası grape variety.
-
E.
Karabük
Karabük is an industrial city in northern Turkey best known for its historic iron and steel industry and its proximity to the UNESCO-listed Ottoman town of Safranbolu.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e778875c8190a5202d3efe5a842d |
completed | March 27, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbd551288190a53decc7021929ee |
completed | March 28, 2026, 12:38 p.m. |
Created at: March 27, 2026, 2:45 p.m.