Triple

T20926328
Position Surface form Disambiguated ID Type / Status
Subject Awabakal E515353 entity
Predicate traditionalLanguageAreaIncludes P96310 FINISHED
Object coastal region around Newcastle 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: coastal region around Newcastle | Statement: [Awabakal, traditionalLanguageAreaIncludes, coastal region around Newcastle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalLanguageAreaIncludes
Context triple: [Awabakal, traditionalLanguageAreaIncludes, coastal region around Newcastle]
  • A. hasTraditionalLanguageRegion chosen
    Indicates the geographic region traditionally associated with the use or origin of a particular language.
  • B. languageArea
    Indicates the geographic or cultural region in which a particular language is used or predominantly spoken.
  • C. culturalAreaIncludes
    Indicates that a broader cultural area encompasses or contains a smaller cultural region or entity within its scope.
  • D. linguisticStatusOfArea
    Indicates the linguistic status or condition that characterizes a particular geographic area.
  • 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.

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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f65200b08190ac208204a20f5a6a completed April 21, 2026, 4 a.m.
PD Predicate disambiguation batch_69e5c9af1fe08190953366a466950140 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:49 p.m.