Triple

T10318932
Position Surface form Disambiguated ID Type / Status
Subject Hazrat Sultan Mosque E242090 entity
Predicate locatedIn P40 FINISHED
Object Yesil District E857604 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: Yesil District | Statement: [Hazrat Sultan Mosque, locatedIn, Yesil District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yesil District
Context triple: [Hazrat Sultan Mosque, locatedIn, Yesil District]
  • A. Yesil District chosen
    Yesil District is a central administrative district of Astana, Kazakhstan, known for hosting major landmarks and modern developments in the capital.
  • B. Siyazan District
    Siyazan District is an administrative region in northeastern Azerbaijan known for its location along the Caspian Sea coast and its role in the country’s oil and agricultural sectors.
  • C. Cayma District
    Cayma District is an urban district in the Arequipa Province of southern Peru, situated on the slopes near the Misti volcano and forming part of the greater Arequipa metropolitan area.
  • D. Gizab District
    Gizab District is an administrative district located within Daykundi Province in central Afghanistan.
  • E. Gizab District
    Gizab District is an administrative district located within Uruzgan Province in central Afghanistan, known for its mountainous terrain and history of conflict.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6ca62b48190844b4cbf55d53a43 completed April 7, 2026, 10:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794e8e57c8190933bad4a3cead75f completed April 9, 2026, noon
Created at: April 6, 2026, 11:49 a.m.