Triple

T13114282
Position Surface form Disambiguated ID Type / Status
Subject Arapesh E311052 entity
Predicate neighboringGroup P5965 FINISHED
Object Tchambuli E311054 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: Tchambuli | Statement: [Arapesh, neighboringGroup, Tchambuli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tchambuli
Context triple: [Arapesh, neighboringGroup, Tchambuli]
  • A. Tchambuli chosen
    Tchambuli refers to an indigenous group from Papua New Guinea whose gender roles and social organization were famously analyzed by anthropologist Margaret Mead as contrasting sharply with Western norms.
  • B. Tsévié
    Tsévié is a town in southern Togo that serves as an important regional center for trade and agriculture.
  • C. Macua
    Macua is an alternative name for Makhuwa, a major Bantu ethnic group and language community primarily found in northern Mozambique.
  • D. Fagara
    Fagara is a genus of flowering plants in the citrus family Rutaceae, known for species that often have aromatic properties and spiny stems.
  • E. Tebu
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28105c481908781775ba489c296 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:06 p.m.