Triple

T20547891
Position Surface form Disambiguated ID Type / Status
Subject Utmanzai E504520 entity
Predicate locatedIn P40 FINISHED
Object Charsadda 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: Charsadda District | Statement: [Utmanzai, locatedIn, Charsadda District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charsadda District
Context triple: [Utmanzai, locatedIn, Charsadda District]
  • A. Charsadda District chosen
    Charsadda District is an administrative district in Pakistan’s Khyber Pakhtunkhwa province, known for its rich historical heritage and agricultural economy.
  • B. Shwak District
    Shwak District is an administrative district located in Paktia Province in eastern Afghanistan.
  • C. Baabda District
    Baabda District is an administrative district in the Mount Lebanon Governorate of Lebanon that includes key suburbs of Beirut and has historically been a significant political and military area.
  • D. Gelan District
    Gelan District is an administrative district in southeastern Afghanistan, located within Ghazni Province.
  • E. Checras District
    Checras District is an administrative district located in the highlands of Peru’s Lima Region, known for its rural Andean communities and traditional agricultural activities.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a2991ac8819089b8c2d70eb88952 completed April 20, 2026, 10:03 p.m.
Created at: April 16, 2026, 11:38 a.m.