Triple

T9770861
Position Surface form Disambiguated ID Type / Status
Subject Dimasa community E237119 entity
Predicate ethnonym P4709 FINISHED
Object Dimasa E237118 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: Dimasa | Statement: [Dimasa community, ethnonym, Dimasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dimasa
Context triple: [Dimasa community, ethnonym, Dimasa]
  • A. Dimasa chosen
    Dimasa is a Tibeto-Burman language spoken primarily by the Dimasa people in parts of Northeast India, including the Barak Valley region.
  • B. Nzaman
    Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
  • C. Diada
    Diada is the common short name for La Diada, the Catalan National Day celebrated annually on September 11 in Catalonia, Spain.
  • D. Durante
    Durante is the birth name of the Italian poet Dante Alighieri, renowned author of the Divine Comedy.
  • E. Timni
    Timni is an alternative name for the Temne people, a major ethnic group primarily found in Sierra Leone in West Africa.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f329148190a5e531478bc18073 completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd0cae548190a2d9b42ea4ecc372 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:26 p.m.