Triple

T20871826
Position Surface form Disambiguated ID Type / Status
Subject Kajaki District E513910 entity
Predicate borderedBy P224 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: [Kajaki District, borderedBy, Musa Qala District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musa Qala District
Context triple: [Kajaki District, borderedBy, 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c4649cf88190b3ad946576aa46aa completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.