Triple

T9055185
Position Surface form Disambiguated ID Type / Status
Subject Tat people E216978 entity
Predicate region P40 FINISHED
Object Quba District E233176 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: Quba District | Statement: [Tat people, region, Quba District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quba District
Context triple: [Tat people, region, Quba District]
  • A. Quba chosen
    Quba is a historic city in northeastern Azerbaijan known for its traditional carpet weaving, scenic mountain setting, and cultural significance in the Quba region.
  • B. Quba
    Quba is a historic village near Medina in present-day Saudi Arabia, renowned as the site of the first mosque in Islam and an early stop during the Prophet Muhammad’s migration (Hijrah).
  • C. Murzuq District
    Murzuq District is an administrative region in southwestern Libya known for its vast Sahara Desert landscapes and sparse population.
  • D. Ismayilli District
    Ismayilli District is an administrative region in northern Azerbaijan known for its mountainous landscapes, forests, and historical villages.
  • E. Balakan District
    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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a7488188190b3dd6bc2f2377503 completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebdb01a8819084365c9b73506a28 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.