Triple

T15856722
Position Surface form Disambiguated ID Type / Status
Subject Colleen Ahland E384477 entity
Predicate hasResearched P108399 FINISHED
Object Uduk language E254723 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: Uduk language | Statement: [Colleen Ahland, hasResearched, Uduk language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uduk language
Context triple: [Colleen Ahland, hasResearched, Uduk language]
  • A. Uduk language chosen
    The Uduk language is a Nilo-Saharan language spoken primarily by the Uduk people of eastern Sudan and western Ethiopia.
  • B. Kedayan language
    The Kedayan language is an Austronesian language spoken primarily by the Kedayan people of Brunei, Sabah, and parts of Borneo, closely related to Malay and other Greater North Borneo languages.
  • C. Teke-Kukuya language
    The Teke-Kukuya language is a Bantu language spoken by the Teke-Kukuya people in the Republic of the Congo and neighboring regions of Central Africa.
  • D. Talaud language
    The Talaud language is an Austronesian language spoken by the indigenous population of the Talaud Islands in North Sulawesi, Indonesia.
  • E. Bidayuh language
    The Bidayuh language is an Austronesian language spoken by the Bidayuh people of western Borneo, particularly in the Malaysian state of Sarawak and parts of Indonesian Kalimantan.
  • 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.