Triple

T19359930
Position Surface form Disambiguated ID Type / Status
Subject Iringa Region E484249 entity
Predicate ethnicGroup P194 FINISHED
Object Hehe people NE NERFINISHED

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: Hehe people | Statement: [Iringa Region, ethnicGroup, Hehe people]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hehe people
Context triple: [Iringa Region, ethnicGroup, Hehe people]
  • A. Hehe chosen
    Hehe is a Bantu language spoken primarily by the Hehe people of south-central Tanzania.
  • B. Heh
    Heh is an ancient Egyptian deity personifying infinite space and eternity, often depicted as a frog-headed god associated with the primordial chaos.
  • C. EHEH
    EHEH is the ICAO airport code for Eindhoven Airport, a major regional airport in the Netherlands.
  • D. Di people
    The Di people are an ancient non-Han ethnic group of northern China, historically prominent as steppe and frontier inhabitants who founded and led several short-lived dynasties during the Sixteen Kingdoms period.
  • E. Bunun people
    The Bunun people are an indigenous Austronesian ethnic group of Taiwan, traditionally known as highland farmers and hunters with rich polyphonic vocal music and distinct cultural practices.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190b343c81909734ba776fd196dc completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.