Triple

T20871781
Position Surface form Disambiguated ID Type / Status
Subject Musa Qala District E513909 entity
Predicate administrativeCenter P1474 FINISHED
Object Musa Qala town 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 town | Statement: [Musa Qala District, administrativeCenter, Musa Qala town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musa Qala town
Context triple: [Musa Qala District, administrativeCenter, Musa Qala town]
  • A. Musa Qala chosen
    Musa Qala is a town and district center in southern Afghanistan that has been a focal point of conflict and military operations, particularly during the Afghan War.
  • B. Zangilan city
    Zangilan city is an urban settlement in southwestern Azerbaijan that serves as the administrative center of the Zangilan District near the borders with Armenia and Iran.
  • C. Afgooye town
    Afgooye town is a historic settlement in southern Somalia that served as the political and commercial heart of the powerful Geledi Sultanate.
  • D. Akhthala town
    Akhthala town is a historic settlement in northern Armenia known for its medieval monastery and scenic location amid the Debed Canyon.
  • E. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • 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.