Triple

T9645224
Position Surface form Disambiguated ID Type / Status
Subject Quba E233176 entity
Predicate locatedIn 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: [Quba, locatedIn, Quba District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quba District
Context triple: [Quba, locatedIn, 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b7fd2308190803a196ecdc80d76 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2284e9d0c8190ab09ad1fd0a123e3 completed April 5, 2026, 9:15 a.m.
Created at: March 30, 2026, 8:12 p.m.