Triple
T16720850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Kağızman |
E406342
|
entity |
| Predicate | hasSeat |
P3522
|
FINISHED |
| Object | Kağızman |
E1230037
|
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: Kağızman | Statement: [municipality of Kağızman, hasSeat, Kağızman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kağızman Context triple: [municipality of Kağızman, hasSeat, Kağızman]
-
A.
Kağızman
chosen
Kağızman is a town in northeastern Turkey known for its location in Kars Province and its role as a local administrative and commercial center.
-
B.
Karabulak
Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
-
C.
Yatağan
Yatağan is a town and district in southwestern Turkey known for its historical sites and traditional knife-making heritage.
-
D.
Sultandağı
Sultandağı is a town and district in western Turkey known for its agricultural production, especially cherries, and its location near the Sultan Mountains.
-
E.
Gumrak
Gumrak is a locality near Volgograd in Russia, historically known as the site of a World War II airfield used during the Battle of Stalingrad.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3874270748190ad7c3b3531293b60 |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb04c1e88190b6c9f43fbdfd6bc4 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:20 a.m.