Triple
T19976450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinop Ethnography Museum |
E493703
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Sinop region |
—
|
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 region | Statement: [Sinop Ethnography Museum, regionServed, Sinop region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinop region Context triple: [Sinop Ethnography Museum, regionServed, Sinop region]
-
A.
Sinop Province
chosen
Sinop Province is a Black Sea coastal province in northern Turkey known for its historic port city of Sinop, natural landscapes, and maritime heritage.
-
B.
Le Rize
Le Rize is a cultural and heritage center in Villeurbanne, France, dedicated to local history, memory, and community-focused artistic and educational activities.
-
C.
Kars Province
Kars Province is a northeastern region of Turkey known for its harsh winters, historic architecture, and strategic location bordering Armenia and Georgia.
-
D.
Sinop
Sinop is a major agricultural and commercial city in the northern region of the Brazilian state of Mato Grosso.
-
E.
Sinop
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.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d0f4fb48190ad63afeff3513523 |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:27 p.m.