Triple

T6984302
Position Surface form Disambiguated ID Type / Status
Subject Fort Sandeman E161923 entity
Predicate renamedTo P3432 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: [Fort Sandeman, renamedTo, Zhob]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhob
Context triple: [Fort Sandeman, renamedTo, 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db90e9108190a7aedeef1fb17eb4 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d36fd638819095d7a431026905f7 completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:31 p.m.