Triple

T8073276
Position Surface form Disambiguated ID Type / Status
Subject North Cachar Hills E188427 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Zeme Naga E597296 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: Zeme Naga | Statement: [North Cachar Hills, hasEthnicGroup, Zeme Naga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeme Naga
Context triple: [North Cachar Hills, hasEthnicGroup, Zeme Naga]
  • A. Zeme Naga chosen
    Zeme Naga are an indigenous Naga ethnic group primarily inhabiting parts of Northeast India, known for their distinct language, rich oral traditions, and customary village institutions.
  • B. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • C. Yokadouma
    Yokadouma is a town in eastern Cameroon that serves as an important local administrative and commercial center near the country's forested border regions.
  • D. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • E. Toda
    Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb404a98408190b6c8eecb95ad086d completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63ecb04881909b1849dc4ef7c2bc completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:27 p.m.