Triple
T20354251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapan |
E496099
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Zangezur |
—
|
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: Zangezur | Statement: [Kapan, historicalRegion, Zangezur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zangezur Context triple: [Kapan, historicalRegion, Zangezur]
-
A.
Zangezur
chosen
Zangezur is a mountainous historical region in the South Caucasus, largely corresponding to today’s Syunik Province in southern Armenia and parts of neighboring territories.
-
B.
Khunzakh
Khunzakh is a historic mountain village and former stronghold in Dagestan, Russia, traditionally associated with the Avar people and their culture.
-
C.
Khasavyurt
Khasavyurt is a significant urban center in the Republic of Dagestan, Russia, known as an important regional hub in the North Caucasus.
-
D.
Garabogaz
Garabogaz is a small city in western Turkmenistan, located near the Garabogazköl lagoon on the Caspian Sea.
-
E.
Balakan
Balakan is a town and district center in northwestern Azerbaijan, near the border with Georgia and Russia, known for its mountainous landscapes and agricultural production.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67852ca9881908a5af18005639859 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.