Triple

T3860966
Position Surface form Disambiguated ID Type / Status
Subject Indo-Pacific linguistic area E90134 entity
Predicate includesLanguageType P45585 FINISHED
Object non-Austronesian languages LITERAL 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: non-Austronesian languages | Statement: [Indo-Pacific linguistic area, includesLanguageType, non-Austronesian languages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesLanguageType
Context triple: [Indo-Pacific linguistic area, includesLanguageType, non-Austronesian languages]
  • A. includesLanguage
    Indicates that one entity contains, supports, or makes use of a specified language as part of its content, functionality, or representation.
  • B. hasLanguageType chosen
    Indicates that an entity is associated with a particular type or category of language (e.g., spoken, written, programming, sign).
  • C. includesMajorLanguageFamily
    Indicates that one entity encompasses, contains, or is associated with a major language family as part of its scope or classification.
  • D. hasLanguageOn
    Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
  • E. isLanguageOf
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • F. None of above.

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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec212a1c8190aba6311630c3fd3e completed March 9, 2026, 3:49 p.m.
PD Predicate disambiguation batch_69aee752c8a48190a670f73ed0bf1e61 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:19 p.m.