Triple

T2822299
Position Surface form Disambiguated ID Type / Status
Subject Charsadda E54837 entity
Predicate provinceCapitalOf P16248 FINISHED
Object Charsadda District E277515 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: Charsadda District | Statement: [Charsadda, provinceCapitalOf, Charsadda District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charsadda District
Context triple: [Charsadda, provinceCapitalOf, 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. Badrashin district
    Badrashin district is an administrative region in Giza Governorate, Egypt, known for encompassing several important archaeological and historical sites near ancient Memphis.
  • C. Jelebu District
    Jelebu District is a largely rural administrative district in the Malaysian state of Negeri Sembilan, known for its hilly terrain, forests, and agricultural activities.
  • D. Zawiya District
    Zawiya District is an administrative region in northwestern Libya that includes the coastal city of Zawiya and surrounding areas along the Mediterranean.
  • E. Kharan District
    Kharan District is an administrative district in the Balochistan province of Pakistan, known for its arid desert landscape and sparse population.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde704af88190a132626acc99745f completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8b751308190a7c6a670a245d97f completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 9:59 p.m.