Triple
T6927804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seferihisar district |
E160355
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Seferihisar |
E629347
|
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: Seferihisar | Statement: [Seferihisar district, contains, Seferihisar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seferihisar Context triple: [Seferihisar district, contains, Seferihisar]
-
A.
Seferihisar
chosen
Seferihisar is a coastal town in Turkey’s İzmir Province, known as one of the country’s first officially designated “Cittaslow” (slow city) communities.
-
B.
Şereflikoçhisar
Şereflikoçhisar is a district and town in central Turkey known for its proximity to the vast Tuz Gölü (Salt Lake) and its salt production.
-
C.
Afyonkarahisar
Afyonkarahisar is a historic city in western Turkey known for its strategic location, thermal springs, and prominent rock fortress overlooking the urban center.
-
D.
Sancaktepe
Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
-
E.
Kemer
Kemer is a popular seaside resort town on Turkey’s Mediterranean coast, known for its beaches, marinas, and proximity to the Taurus Mountains.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1bf2088190a8ccfa01d9a1efc5 |
completed | March 27, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75859735081909382f1542271a1e4 |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:27 p.m.