Triple
T13266246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aydın Province |
E315931
|
entity |
| Predicate | containsDistrict |
P22582
|
FINISHED |
| Object | Sultanhisar |
E1034488
|
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: Sultanhisar | Statement: [Aydın Province, containsDistrict, Sultanhisar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sultanhisar Context triple: [Aydın Province, containsDistrict, Sultanhisar]
-
A.
Beştepe
Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
-
B.
Ortahisar
Ortahisar is a town in Turkey’s Cappadocia region, known for its towering rock castle, cave dwellings, and traditional stone architecture.
-
C.
Karacasu
chosen
Karacasu is a district in western Turkey known for its proximity to the ancient city of Aphrodisias and its traditional pottery.
-
D.
Khizarsarai
Khizarsarai is a town located in the Gaya district of the Indian state of Bihar.
-
E.
Bağçasaray
Bağçasaray is the Crimean Tatar name for Bakhchisaray, a historic town in Crimea that once served as the capital of the Crimean Khanate.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901e44bc8190966f87ae219d6bf4 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7266665488190a4e2e411bafada85 |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:25 p.m.