Triple

T10178739
Position Surface form Disambiguated ID Type / Status
Subject Bajaur Agency E235926 entity
Predicate mergedInto P77 FINISHED
Object Bajaur District E235926 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: Bajaur District | Statement: [Bajaur Agency, mergedInto, Bajaur District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bajaur District
Context triple: [Bajaur Agency, mergedInto, Bajaur District]
  • A. Malistan District
    Malistan District is an administrative district in central Afghanistan known for its predominantly Hazara population and location within Ghazni Province.
  • B. Bajaur Agency chosen
    Bajaur Agency was a former administrative district in Pakistan’s northwestern tribal belt, bordering Afghanistan and known for its strategic and security significance.
  • C. Khadir District
    Khadir District is an administrative district located within Daykundi Province in central Afghanistan.
  • D. Nijrab District
    Nijrab District is an administrative district in Kapisa Province of eastern Afghanistan, known for its ethnolinguistic diversity and mountainous terrain.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd620808190892c6e3074500280 completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3012d11488190a410d389034da887 completed April 6, 2026, 12:41 a.m.
Created at: March 30, 2026, 9:11 p.m.