Triple

T13145716
Position Surface form Disambiguated ID Type / Status
Subject Enga people E312329 entity
Predicate languageFamily P1047 FINISHED
Object Engan languages E602079 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: Engan languages | Statement: [Enga people, languageFamily, Engan languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Engan languages
Context triple: [Enga people, languageFamily, Engan languages]
  • A. Engan languages chosen
    The Engan languages are a group of closely related Papuan languages spoken primarily in the highlands of Papua New Guinea, known for their large speaker populations and significance within the Trans–New Guinea language family.
  • B. Cangin languages
    Cangin languages are a small group of closely related Atlantic languages spoken primarily in Senegal, distinct from but historically related to the main Serer language.
  • C. Angas languages
    Angas languages are a group of closely related Chadic languages spoken primarily in central Nigeria.
  • D. Engenni language
    The Engenni language is a Niger-Congo language spoken by the Engenni people in Nigeria’s Niger Delta region.
  • E. Angan languages
    The Angan languages are a group of closely related Papuan languages spoken primarily in the highlands of southeastern Papua New Guinea.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bcf6d0c819081d078f33e4bdedc completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae675508190991ce5902768c45a completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:10 p.m.