Triple

T1199483
Position Surface form Disambiguated ID Type / Status
Subject Gela language E25745 entity
Predicate hasNeighbouringLanguage P16383 FINISHED
Object Lengo language E137417 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: Lengo language | Statement: [Gela language, hasNeighbouringLanguage, Lengo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lengo language
Context triple: [Gela language, hasNeighbouringLanguage, Lengo language]
  • A. Tsonga language
    The Tsonga language is a Bantu language spoken primarily in southern Africa, especially in Mozambique, South Africa, Eswatini, and Zimbabwe.
  • B. Nggela language chosen
    Nggela language is an Oceanic language spoken in the Solomon Islands, particularly associated with the Gela (Nggela) Islands in Central Province.
  • C. Saluan language
    The Saluan language is an Austronesian language spoken by the Saluan people of central and eastern Sulawesi, Indonesia.
  • D. Luilang language
    The Luilang language is an extinct Austronesian language once spoken by an indigenous Formosan group in northern Taiwan.
  • E. Teso language
    Teso language is an Eastern Nilotic language spoken primarily by the Iteso people in eastern Uganda and western Kenya.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bf15423481909cb3e661e58d3d94 completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac831703bc8190839deb02075cb8fd completed March 7, 2026, 7:57 p.m.
Created at: March 1, 2026, 7:46 p.m.