Triple

T5581650
Position Surface form Disambiguated ID Type / Status
Subject Yevlakh E146653 entity
Predicate partOf P40 FINISHED
Object Yevlakh Rayon E529343 NE FINISHED

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: Yevlakh Rayon | Statement: [Yevlakh, partOf, Yevlakh Rayon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yevlakh Rayon
Context triple: [Yevlakh, partOf, Yevlakh Rayon]
  • A. Yevlakh District chosen
    Yevlakh District is an administrative region in central Azerbaijan that encompasses the city of Yevlakh and surrounding rural areas.
  • B. Yevlakh
    Yevlakh is a city in central Azerbaijan that serves as an important regional transport and agricultural hub.
  • C. Shamakhi Uyezd
    Shamakhi Uyezd was an administrative district centered on the town of Shamakhi within the Russian Empire’s Caucasian territories.
  • D. Astara District
    Astara District is an administrative region in southeastern Azerbaijan, located along the Caspian Sea and bordering Iran.
  • E. Khachmaz District
    Khachmaz District is an administrative region in northeastern Azerbaijan, known for its agriculture, coastal location along the Caspian Sea, and proximity to the Russian border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0208147a48190b2cdb42b9c9814a3 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d2aab348190944cca5375e0ddb9 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:37 p.m.