Triple

T12155246
Position Surface form Disambiguated ID Type / Status
Subject Anaguta E289556 entity
Predicate glottologReferenceName P6521 FINISHED
Object Anaguta E289556 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: Anaguta | Statement: [Anaguta, glottologReferenceName, Anaguta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anaguta
Context triple: [Anaguta, glottologReferenceName, Anaguta]
  • A. Anaguta chosen
    Anaguta is a Plateau language spoken by the Anaguta people in and around Jos in central Nigeria.
  • B. Anagaire
    Anagaire is a small Irish-speaking coastal village in County Donegal, Ireland, known for its strong Gaeltacht culture and scenic Atlantic setting.
  • C. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • D. Cailungo
    Cailungo is a locality within the municipality of Serravalle in the Republic of San Marino.
  • E. Nolana
    Nolana is a genus of flowering plants native mainly to coastal regions of South America, known for their showy, often blue, funnel-shaped blossoms.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c1673c8190830cd15525d16869 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e4c19248190913451db0a084172 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:50 p.m.