Triple

T13576424
Position Surface form Disambiguated ID Type / Status
Subject Yakurr people E324297 entity
Predicate language P15 FINISHED
Object Lokaa language E1005086 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: Lokaa language | Statement: [Yakurr people, language, Lokaa language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lokaa language
Context triple: [Yakurr people, language, Lokaa language]
  • A. Lokaa language chosen
    The Lokaa language is a Niger-Congo language spoken primarily by the Lokaa people in and around Ugep in Cross River State, southeastern Nigeria.
  • B. Loko language
    Loko language is a Southern Atlantic language spoken primarily by the Loko people in Sierra Leone.
  • C. Lokoya language
    The Lokoya language is a Nilo-Saharan language spoken by the Lokoya people of South Sudan.
  • D. Lotuko language
    The Lotuko language is an Eastern Nilotic language spoken primarily by the Lotuko people of South Sudan.
  • E. Löyöp language
    The Löyöp language is an Oceanic language spoken by a small community in the Banks Islands of northern Vanuatu.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb02de1988190af2d473973ecd529 completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bba21f88190b8952fb0879e623d completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.