Triple
T20245310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Demerdzhi |
E498408
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Northern Demerdzhi |
—
|
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: Northern Demerdzhi | Statement: [Southern Demerdzhi, near, Northern Demerdzhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Northern Demerdzhi Context triple: [Southern Demerdzhi, near, Northern Demerdzhi]
-
A.
Demerdzhi
chosen
Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
-
B.
Yaropolch
Yaropolch is a village in Russia historically noted as the place where Ukrainian Hetman Petro Doroshenko died.
-
C.
Yurka
Yurka is the surname of Blanche Yurka, an American actress and director known for her work on stage and in early cinema.
-
D.
Yazhelbitsy
Yazhelbitsy is a rural locality in Russia known for its proximity to Mount Uzhin.
-
E.
Tyrnyauz
Tyrnyauz is a mountainous town in southwestern Russia known for its former tungsten-molybdenum mining industry and location in the North Caucasus.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a10ab48190a408a5d2c2b0808b |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:40 p.m.