Triple

T6921982
Position Surface form Disambiguated ID Type / Status
Subject PK-BA E160207 entity
Predicate includesCity P3207 FINISHED
Object Zhob E30598 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: Zhob | Statement: [PK-BA, includesCity, Zhob]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhob
Context triple: [PK-BA, includesCity, Zhob]
  • A. Zhob chosen
    Zhob is a town and district in northwestern Balochistan, Pakistan, known historically as a strategic frontier outpost and regional trade center near the Afghan border.
  • B. Qakh
    Qakh is a town in northwestern Azerbaijan that serves as an administrative and cultural center near the border with Georgia and Russia.
  • C. Mardan
    Mardan is a major city in northern Pakistan known as an important commercial and cultural center of the Khyber Pakhtunkhwa province.
  • D. Jalalaqsi
    Jalalaqsi is a town in central Somalia that serves as a local administrative and commercial center within the Hirshabelle State.
  • E. Zhob District
    Zhob District is an administrative district in northern Balochistan, Pakistan, known for its predominantly Pashtun population and strategic location near the Afghan border.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fb8ac48190b50bbc47fad8288f completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7942be8708190bad44a9966884515 completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:26 p.m.