Triple

T19471890
Position Surface form Disambiguated ID Type / Status
Subject Kuba dialect E487141 entity
Predicate region P40 FINISHED
Object Quba region 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: Quba region | Statement: [Kuba dialect, region, Quba region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quba region
Context triple: [Kuba dialect, region, Quba region]
  • A. 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).
  • B. 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.
  • C. Masalli region
    Masalli region is an administrative district in southern Azerbaijan, known for its Talysh population, subtropical climate, and agricultural production.
  • D. Absheron District
    Absheron District is an administrative region of Azerbaijan located near the capital Baku, known for its rapidly growing suburbs, industrial facilities, and historical sites on the Absheron Peninsula.
  • E. Lebap Region
    Lebap Region is an administrative province in eastern Turkmenistan known for its major city Turkmenabat and its location along the Amu Darya River.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e8d9188190a4939f03bad89add completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.