Triple

T11068128
Position Surface form Disambiguated ID Type / Status
Subject Southern Tat E261676 entity
Predicate region P40 FINISHED
Object Ismailli District E239662 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: Ismailli District | Statement: [Southern Tat, region, Ismailli District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ismailli District
Context triple: [Southern Tat, region, Ismailli District]
  • A. Murzuq District
    Murzuq District is an administrative region in southwestern Libya known for its vast Sahara Desert landscapes and sparse population.
  • B. Ismayilli District chosen
    Ismayilli District is an administrative region in northern Azerbaijan known for its mountainous landscapes, forests, and historical villages.
  • C. 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.
  • D. Nurgal District
    Nurgal District is an administrative district located in Kunar Province in eastern Afghanistan.
  • E. Şavşat District
    Şavşat District is an administrative district in northeastern Turkey known for its mountainous landscapes, forests, and traditional villages within Artvin Province.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7992164d88190a01ed567b2529227 completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f3768c0081908d209b854dd08dd2 completed April 19, 2026, 3:23 p.m.
Created at: April 8, 2026, 9:26 p.m.