Triple

T6674164
Position Surface form Disambiguated ID Type / Status
Subject Balakan District E151807 entity
Predicate hasSettlement P1068 FINISHED
Object Balakan E151807 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: Balakan | Statement: [Balakan District, hasSettlement, Balakan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balakan
Context triple: [Balakan District, hasSettlement, Balakan]
  • A. Zangezur
    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. Karabulak
    Karabulak is a town in the Republic of Ingushetia, Russia, situated in the North Caucasus region.
  • C. Turkmeneli
    Turkmeneli is a culturally distinct region in northern Iraq traditionally inhabited by the Iraqi Turkmen minority, known for its unique Turkmen heritage, language, and traditions.
  • D. Karabağlar
    Karabağlar is a populous urban district of İzmir, Turkey, known primarily as a residential and commercial area within the city’s metropolitan region.
  • E. Balakan District chosen
    Balakan District is an administrative region in northwestern Azerbaijan known for its mountainous landscapes and location along the border with Georgia’s Kakheti region.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f1d9d081909670f5c0b7389c0d completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a67cae081908f61e5bc0cafcd2b completed March 28, 2026, 12:01 a.m.
Created at: March 27, 2026, 2:03 p.m.