Triple

T7467684
Position Surface form Disambiguated ID Type / Status
Subject Dima Hasao district E176414 entity
Predicate hasWidelySpokenLanguage P2266 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: [Dima Hasao district, hasWidelySpokenLanguage, Dimasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dimasa
Context triple: [Dima Hasao district, hasWidelySpokenLanguage, 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f589cc81909f25268838c7c964 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83475392c8190a51d24e1530c0c83 completed March 28, 2026, 8:05 p.m.
Created at: March 27, 2026, 3:40 p.m.