Triple

T20837142
Position Surface form Disambiguated ID Type / Status
Subject Musa Qala E512988 entity
Predicate governorateCapitalOf P16248 FINISHED
Object Musa Qala 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: Musa Qala District | Statement: [Musa Qala, governorateCapitalOf, Musa Qala District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musa Qala District
Context triple: [Musa Qala, governorateCapitalOf, Musa Qala District]
  • A. Musa Qala District chosen
    Musa Qala District is an administrative district in northern Helmand Province, Afghanistan, known for its strategic location and history of intense conflict during the Afghan war.
  • B. Jalalaqsi District
    Jalalaqsi District is an administrative district in central Somalia, located within the Hiran (Hiiraan) region.
  • C. Mirzaka District
    Mirzaka District is an administrative district located within Paktia Province in eastern Afghanistan.
  • D. Qakh District
    Qakh District is an administrative region in northwestern Azerbaijan known for its ethnically diverse population and location along the border with Georgia.
  • E. Darzab District
    Darzab District is an administrative district in northern Afghanistan, located within Jowzjan Province and known for its rural communities and security challenges.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3280a1881909a86d1fe498aee50 completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:42 p.m.