Triple

T1416058
Position Surface form Disambiguated ID Type / Status
Subject Bima–Sumba languages E31919 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Lamboya language E160651 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: Lamboya language | Statement: [Bima–Sumba languages, hasMemberLanguage, Lamboya language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamboya language
Context triple: [Bima–Sumba languages, hasMemberLanguage, Lamboya language]
  • A. Lamboya language chosen
    The Lamboya language is an Austronesian language spoken by the Lamboya people on the island of Sumba in eastern Indonesia.
  • B. Kambera language
    Kambera language is an Austronesian language spoken primarily on the island of Sumba in eastern Indonesia, known for its complex morphology and rich oral tradition.
  • C. Lambadi language
    The Lambadi language is an Indo-Aryan language spoken primarily by the Banjara (Lambadi) community in parts of India.
  • D. Yola language
    The Yola language was an extinct West Germanic language once spoken in County Wexford, Ireland, that preserved many archaic features derived from early English settlers.
  • E. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c402b1648190b87802d9beb2712e completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad015cdc8881908887aa0fb0838145 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:59 p.m.