Triple

T20871745
Position Surface form Disambiguated ID Type / Status
Subject Musa Qala District E513909 entity
Predicate capital P234 FINISHED
Object Musa Qala 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 | Statement: [Musa Qala District, capital, Musa Qala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musa Qala
Context triple: [Musa Qala District, capital, Musa Qala]
  • 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. Khormuj
    Khormuj is a city in southern Iran that serves as a local urban center within Bushehr Province.
  • C. Kushk
    Kushk is a town in northwestern Afghanistan near the Turkmenistan border, known as a local trade and transit center in Herat Province.
  • D. Meherabad
    Meherabad is a spiritual retreat and pilgrimage center in Maharashtra, India, best known as the ashram and tomb-shrine of Indian spiritual master Meher Baba.
  • E. Qala
    Qala is a small village on the eastern tip of the Maltese island of Gozo, known for its scenic coastal views and traditional rural character.
  • 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.