Triple

T7011920
Position Surface form Disambiguated ID Type / Status
Subject Lengo language E162602 entity
Predicate neighboringLanguage P16383 FINISHED
Object Malango language E619303 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: Malango language | Statement: [Lengo language, neighboringLanguage, Malango language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malango language
Context triple: [Lengo language, neighboringLanguage, Malango language]
  • A. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • B. Maleng language
    The Maleng language is a Vietic language spoken by the Maleng people of Laos and Vietnam, known for preserving archaic features within the Vietic branch of the Austroasiatic family.
  • C. Banda-Linda language
    The Banda-Linda language is a Banda language spoken by the Banda-Linda people of the Central African Republic.
  • D. Mangseng language chosen
    The Mangseng language is an Oceanic language spoken in Papua New Guinea, belonging to the Western Bismarck subgroup of the Austronesian language family.
  • E. Balangao language
    The Balangao language is an Austronesian language spoken by the Balangao people in the Mountain Province of the northern 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc5729448190af66dbd6f3e8936e completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a4bd424819097e1543ec59979ff completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.