Triple
T22868561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Principality of Khachen |
E567122
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Syunik |
—
|
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: Syunik | Statement: [Principality of Khachen, borderedBy, Syunik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syunik Context triple: [Principality of Khachen, borderedBy, Syunik]
-
A.
Syunik Province
chosen
Syunik Province is a southern region of Armenia known for its mountainous terrain, rich mineral resources, and strategic location bordering Iran and Azerbaijan.
-
B.
Sasun region
The Sasun region is a mountainous area in historical Western Armenia, renowned as the legendary homeland of the folk heroes in the Armenian epic “Daredevils of Sassoun.”
-
C.
Vayots Dzor Province
Vayots Dzor Province is a mountainous region in southeastern Armenia known for its ancient monasteries, wine production, and dramatic landscapes.
-
D.
Abovyan
Abovyan is a town in central Armenia known as an industrial and residential satellite of the capital, Yerevan.
-
E.
Tavush Province
Tavush Province is a northeastern region of Armenia known for its forested mountains, monasteries, and border location with Georgia and Azerbaijan.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f02c8b8819095cbee626f935fed |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.