Triple
T20149200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balatlar Church ruins |
E491387
|
entity |
| Predicate | proximityTo |
P350
|
FINISHED |
| Object | Sinop city center |
—
|
NE NERFINISHED |
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 city center | Statement: [Balatlar Church ruins, proximityTo, Sinop city center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinop city center Context triple: [Balatlar Church ruins, proximityTo, Sinop city center]
-
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
Sinop is a major agricultural and commercial city in the northern region of the Brazilian state of Mato Grosso.
-
C.
Yenipazar
Yenipazar is a small town and district in northwestern Turkey known for its rural character and traditional Anatolian lifestyle.
-
D.
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.
-
E.
Beypazarı
Beypazarı is a historic district and town in central Turkey known for its well-preserved Ottoman-era houses, traditional markets, and mineral water.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a0c0e881909a4f21a5d22973d2 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.