Triple

T21456181
Position Surface form Disambiguated ID Type / Status
Subject Central Azerbaijan E529344 entity
Predicate hasCity P316 FINISHED
Object Goychay 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: Goychay | Statement: [Central Azerbaijan, hasCity, Goychay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goychay
Context triple: [Central Azerbaijan, hasCity, Goychay]
  • A. Goychay chosen
    Goychay is a town in central Azerbaijan known today as the administrative center of the Goychay District and for its pomegranate cultivation and annual pomegranate festival.
  • B. Yevlakh
    Yevlakh is a city in central Azerbaijan that serves as an important regional transport and agricultural hub.
  • C. Goychay District
    Goychay District is an administrative region in central Azerbaijan, known for its pomegranate cultivation and annual pomegranate festival.
  • D. Gandzhachay
    Gandzhachay is a river in western Azerbaijan that flows through the city of Ganja before joining the Kura River.
  • E. Jabrayil
    Jabrayil is a town in southwestern Azerbaijan that became a key strategic location and symbol of territorial gains during the 2020 Nagorno-Karabakh war.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d6da3c819082a495f5434c5554 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:08 p.m.