Triple
T727498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konya |
E14759
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Konya Province |
E14759
|
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: Konya Province | Statement: [Konya, partOf, Konya Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konya Province Context triple: [Konya, partOf, Konya Province]
-
A.
Ankara Province
Ankara Province is a central Anatolian administrative region of Turkey that includes and is centered around the national capital city, Ankara.
-
B.
Erzurum Province
Erzurum Province is a large, historically significant region in eastern Turkey known for its mountainous terrain, harsh winters, and the city of Erzurum as its administrative center.
-
C.
Antalya Province
Antalya Province is a large Mediterranean coastal region in southwestern Turkey known for its major tourist resorts, beaches, and historical sites.
-
D.
Konya
chosen
Konya is a major city in central Anatolia known for its rich Seljuk heritage and as the home of the Sufi mystic Rumi and the Whirling Dervishes.
-
E.
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.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5c011948190b2cfccd8fe722742 |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c00751dc8190ad1ac6885341f799 |
completed | March 4, 2026, 5:15 a.m. |
Created at: March 1, 2026, 7:37 p.m.