Triple
T21406586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astara District |
E528050
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | Astara rayonu |
—
|
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: Astara rayonu | Statement: [Astara District, nativeName, Astara rayonu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Astara rayonu Context triple: [Astara District, nativeName, Astara rayonu]
-
A.
Astara District
chosen
Astara District is an administrative region in southeastern Azerbaijan, located along the Caspian Sea and bordering Iran.
-
B.
Shamkir District
Shamkir District is an administrative region in western Azerbaijan known for its agricultural production, especially viticulture, and its historical and cultural heritage.
-
C.
Qarabagh District
Qarabagh District is an administrative district in Ghazni Province, Afghanistan, known for its predominantly rural communities and agricultural economy.
-
D.
Astara
Astara is a coastal city in northern Iran near the border with Azerbaijan, known as an important trade and transit hub on the Caspian Sea.
-
E.
S.A. Niyazov District
S.A. Niyazov District is an administrative district in northern Turkmenistan named after former president Saparmurat Atayevich Niyazov.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1b08fdc81909b3ba01add5f6484 |
completed | April 22, 2026, 11:32 a.m. |
Created at: April 16, 2026, 5:32 p.m.