Triple

T6099256
Position Surface form Disambiguated ID Type / Status
Subject Malaweg language E135952 entity
Predicate isRelatedTo P37 FINISHED
Object Itawit language E145496 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: Itawit language | Statement: [Malaweg language, isRelatedTo, Itawit language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itawit language
Context triple: [Malaweg language, isRelatedTo, Itawit language]
  • A. Itawit language chosen
    The Itawit language is an Austronesian language spoken primarily by the Itawit people in northern Luzon in the Philippines.
  • B. Nitinaht language
    The Nitinaht language is a Southern Wakashan Indigenous language spoken by the Ditidaht (Nitinaht) people of Vancouver Island in British Columbia, Canada.
  • C. Tigak language
    The Tigak language is an Austronesian language spoken by the Tigak people of New Ireland Province in Papua New Guinea.
  • D. Opata language
    The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
  • E. Baniwa language
    Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3970808190ba90f5e4235db9f2 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1358d0e18819084e2acb9e75271b4 completed March 23, 2026, 12:43 p.m.
Created at: March 22, 2026, 4:13 p.m.