Triple

T21456200
Position Surface form Disambiguated ID Type / Status
Subject Central Azerbaijan E529344 entity
Predicate hasCity P316 FINISHED
Object Samukh District 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: Samukh District | Statement: [Central Azerbaijan, hasCity, Samukh District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samukh District
Context triple: [Central Azerbaijan, hasCity, Samukh District]
  • A. Samukh District chosen
    Samukh District is an administrative region in western Azerbaijan known for its agricultural activities and location within the country's Ganja-Gazakh area.
  • B. Andar District
    Andar District is an administrative district in southeastern Afghanistan known for its predominantly rural communities and history of conflict within Ghazni Province.
  • C. Yanatile District
    Yanatile District is an administrative district located within Calca Province in Peru's Cusco Region, known for its Andean landscapes and rural communities.
  • D. Nooken District
    Nooken District is an administrative district in southwestern Kyrgyzstan, located within the Jalal-Abad Region.
  • E. Matesih District
    Matesih District is an administrative district within Karanganyar Regency in Central Java, Indonesia, known for its rural communities and Javanese cultural setting.
  • 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.