Triple

T5133254
Position Surface form Disambiguated ID Type / Status
Subject Lezgins E115753 entity
Predicate region P40 FINISHED
Object Khachmaz District E233177 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: Khachmaz District | Statement: [Lezgins, region, Khachmaz District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khachmaz District
Context triple: [Lezgins, region, Khachmaz District]
  • A. Khachmaz District chosen
    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.
  • B. Qakh District
    Qakh District is an administrative region in northwestern Azerbaijan known for its ethnically diverse population and location along the border with Georgia.
  • C. Zaqatala District
    Zaqatala District is an administrative region in northwestern Azerbaijan known for its mountainous landscapes, diverse ethnic communities, and location along the border with Georgia and Dagestan.
  • D. Ismayilli District
    Ismayilli District is an administrative region in northern Azerbaijan known for its mountainous landscapes, forests, and historical villages.
  • E. Khostinsky District
    Khostinsky District is an administrative district of the city of Sochi in Krasnodar Krai, Russia, known for its Black Sea coastline, subtropical climate, and popular resort and spa areas.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd784ca5ac81909f1ec7544f5bbd26 completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4c9a14881908a8bf2f73ebf56f7 completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:42 p.m.