Triple

T17462101
Position Surface form Disambiguated ID Type / Status
Subject Gupis E425177 entity
Predicate partOf P40 FINISHED
Object Gupis-Yasin District 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: Gupis-Yasin District | Statement: [Gupis, partOf, Gupis-Yasin District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gupis-Yasin District
Context triple: [Gupis, partOf, Gupis-Yasin District]
  • A. Gupis-Yasin District chosen
    Gupis-Yasin District is an administrative district in the Gilgit-Baltistan region of northern Pakistan, known for its mountainous terrain and remote high-altitude valleys.
  • B. Kasbi District
    Kasbi District is an administrative district located within Uzbekistan's Qashqadaryo Region, known primarily for its agricultural activities and rural settlements.
  • C. Lapseki District
    Lapseki District is an administrative district in Çanakkale Province, Turkey, centered around the town of Lapseki on the Asian shore of the Dardanelles Strait.
  • D. Yesil District
    Yesil District is a central administrative district of Astana, Kazakhstan, known for hosting major landmarks and modern developments in the capital.
  • E. Gizab District
    Gizab District is an administrative district located within Daykundi Province in central Afghanistan.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a3c4cc8190937808e3272272c0 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.