Triple

T14352881
Position Surface form Disambiguated ID Type / Status
Subject Munda airfield E355897 entity
Predicate nearSettlement P3883 FINISHED
Object Munda E354949 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: Munda | Statement: [Munda airfield, nearSettlement, Munda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munda
Context triple: [Munda airfield, nearSettlement, Munda]
  • A. Munda chosen
    Munda is a town and former World War II airfield site on New Georgia Island in the Western Province of the Solomon Islands.
  • B. Munda
    Munda are an indigenous Adivasi community of eastern India known for their distinct Austroasiatic language, rich tribal culture, and historical resistance to colonial rule.
  • C. Munda
    Munda is a town and administrative settlement located in the Lower Dir District of Khyber Pakhtunkhwa province in Pakistan.
  • D. Sicel
    Sicel was an ancient Indo-European language once spoken by the Sicel people in eastern Sicily before the dominance of Latin and Greek in the region.
  • E. Casca
    Casca was one of the leading conspirators in the assassination of Julius Caesar, remembered for being among the first to strike during the attack in the Roman Senate.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f4ff1e48190bd9419d70098cede completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c44ff4c8190bbcc7a34b98ac330 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:14 a.m.