Triple

T14432928
Position Surface form Disambiguated ID Type / Status
Subject Rendova E357879 entity
Predicate locatedNear P294 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: [Rendova, locatedNear, Munda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munda
Context triple: [Rendova, locatedNear, Munda]
  • A. 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.
  • B. 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.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91471a648190adb7b283a6a85c3e completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd648b8f348190be11645b371b4102 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:18 a.m.