Triple

T1532929
Position Surface form Disambiguated ID Type / Status
Subject Flores–Lembata languages E32484 entity
Predicate hasEthnologueMacroArea P29552 FINISHED
Object Papunesia 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: Papunesia | Statement: [Flores–Lembata languages, hasEthnologueMacroArea, Papunesia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEthnologueMacroArea
Context triple: [Flores–Lembata languages, hasEthnologueMacroArea, Papunesia]
  • A. hasEthnologueEntry
    Indicates that there exists an entry for the subject in the Ethnologue language reference resource.
  • B. linguisticArea
    Indicates a regional context in which languages share features due to geographic proximity and contact rather than common genetic origin.
  • C. macrolanguageGrouping
    Indicates that one language is classified as part of a broader macrolanguage grouping that encompasses multiple closely related language varieties.
  • D. macrolanguageOf
    Indicates that one language functions as a macrolanguage encompassing or grouping together one or more related individual languages.
  • E. isCulturalLanguageOf
    Indicates that a language serves as a primary medium of cultural expression, identity, and heritage for a particular group, community, or region.
  • F. None of above. chosen

Provenance (4 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a915f323bc8190aa757142c225e0ae completed March 5, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69a907b046448190be8ea4d7b20255f7 completed March 5, 2026, 4:33 a.m.
PDg Predicate description generation batch_69a915f1694081908f87b509eda1309f completed March 5, 2026, 5:34 a.m.
Created at: March 4, 2026, 7:26 p.m.