Triple
T6207985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayqubad I |
E138794
|
entity |
| Predicate | fortified |
P22477
|
FINISHED |
| Object | Sinop |
E114644
|
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: Sinop | Statement: [Kayqubad I, fortified, Sinop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinop Context triple: [Kayqubad I, fortified, Sinop]
-
A.
Sinop
chosen
Sinop is a historic port city on Turkey’s Black Sea coast, long valued for its strategic harbor and role in regional trade and defense.
-
B.
Sinop Province
Sinop Province is a Black Sea coastal province in northern Turkey known for its historic port city of Sinop, natural landscapes, and maritime heritage.
-
C.
Dzhankoy
Dzhankoy is a town in northern Crimea that serves as a key regional railway junction and transport hub.
-
D.
Liman
Liman is a surname most notably associated with American film director and producer Doug Liman.
-
E.
Ust-Koksa
Ust-Koksa is a rural settlement in Russia’s Altai Republic, known as a gateway village for trekking and tourism in the Belukha Mountain region of the Altai 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062870d5881909b8d4e33ff31a907 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f4ce8888190b5cc4f1b091e88f3 |
completed | March 23, 2026, 4:50 p.m. |
Created at: March 22, 2026, 4:20 p.m.