Triple

T14962655
Position Surface form Disambiguated ID Type / Status
Subject Leela E373099 entity
Predicate adoptiveParents P37844 FINISHED
Object Munda unclear NED1 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: [Leela, adoptiveParents, Munda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munda
Context triple: [Leela, adoptiveParents, 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
    Munda is a town and administrative settlement located in the Lower Dir District of Khyber Pakhtunkhwa province in Pakistan.
  • C. Munda
    Munda is a town and former World War II airfield site on New Georgia Island in the Western Province of the Solomon Islands.
  • 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. chosen

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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6d0487c8190b7754af8c5014b37 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bdeec408190893d1db9254da24e completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:40 a.m.