Triple

T15856723
Position Surface form Disambiguated ID Type / Status
Subject Colleen Ahland E384477 entity
Predicate hasResearched P108399 FINISHED
Object Komo language E49680 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: Komo language | Statement: [Colleen Ahland, hasResearched, Komo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Komo language
Context triple: [Colleen Ahland, hasResearched, Komo language]
  • A. Koma language
    Koma language is a lesser-known Niger-Congo language spoken by the Koma people in parts of West Africa, particularly in northeastern Nigeria and neighboring regions.
  • B. Pokomo language
    The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
  • C. Koman languages chosen
    The Koman languages are a small group of closely related, lesser-known languages spoken primarily along the Ethiopia–South Sudan border and classified within the proposed Nilo-Saharan language family.
  • D. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • E. Kambaata language
    The Kambaata language is a Cushitic language of the Afroasiatic family spoken primarily by the Kambaata people in southern Ethiopia.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cb08bd081908af2120eb2925441 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14c1e508190a182db216cc4e326 completed May 9, 2026, 9:04 p.m.
Created at: April 10, 2026, 4:50 a.m.