Triple

T6537300
Position Surface form Disambiguated ID Type / Status
Subject Battle of Musa Qala E168196 entity
Predicate location P40 FINISHED
Object Musa Qala E512988 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: Musa Qala | Statement: [Battle of Musa Qala, location, Musa Qala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musa Qala
Context triple: [Battle of Musa Qala, location, 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. 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.
  • C. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • D. Quba
    Quba is a historic village near Medina in present-day Saudi Arabia, renowned as the site of the first mosque in Islam and an early stop during the Prophet Muhammad’s migration (Hijrah).
  • E. Quba
    Quba is a historic city in northeastern Azerbaijan known for its traditional carpet weaving, scenic mountain setting, and cultural significance in the Quba region.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add33acc8190bb0a9531648198f2 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d53616848190835d9f02bd8e2dbf completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:49 p.m.