Triple

T9032210
Position Surface form Disambiguated ID Type / Status
Subject Mokokchung E216398 entity
Predicate ethnicCommunity P1898 FINISHED
Object Ao Naga E216387 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: Ao Naga | Statement: [Mokokchung, ethnicCommunity, Ao Naga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ao Naga
Context triple: [Mokokchung, ethnicCommunity, Ao Naga]
  • A. Ao Naga chosen
    Ao Naga are a major Naga ethnic group of northeastern India, known for their distinct Tibeto-Burman language, rich folk traditions, and influential role in the cultural and political life of Nagaland.
  • B. Maram Naga
    Maram Naga are an indigenous Naga community primarily inhabiting parts of Manipur in Northeast India, known for their distinct language, customs, and traditional village institutions.
  • C. Anao
    Anao is a small agricultural municipality located in the province of Tarlac in the Philippines.
  • D. Nagapasha
    Nagapasha is a mythical serpent-noose weapon from Hindu epics, famed for binding its targets with powerful, inescapable snake bonds.
  • E. Na-Ga
    Na-Ga is a Japanese illustrator and character designer best known for his work with the visual novel studio Key, including designs for series like Angel Beats! and Little Busters!.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6aa0c89c81909792190f08fef8df completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb83e8988190bf29baa1aff11ac0 completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:08 p.m.