Triple

T15115971
Position Surface form Disambiguated ID Type / Status
Subject Karlu Karlu / Devils Marbles Conservation Reserve E361039 entity
Predicate languageOfTraditionalName P21030 FINISHED
Object Warumungu 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: Warumungu | Statement: [Karlu Karlu / Devils Marbles Conservation Reserve, languageOfTraditionalName, Warumungu]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfTraditionalName
Context triple: [Karlu Karlu / Devils Marbles Conservation Reserve, languageOfTraditionalName, Warumungu]
  • A. traditionalLanguageName chosen
    Indicates the name traditionally used in a particular language to refer to the subject entity.
  • B. languageFamilyTraditional
    Indicates that one entity belongs to, or is classified under, the traditional language family of the other entity.
  • C. hasTraditionalName
    Indicates that an entity is associated with a name traditionally used or recognized for it, often rooted in long-standing cultural or historical practice.
  • D. languageOfHistoricName
    Indicates the language in which a historic or former name of an entity is expressed.
  • E. onTraditionalCountryOf
    Indicates that something is located within or associated with the traditional country or ancestral lands of a particular group.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058f4fb88190a3d446a466aebcf1 completed April 15, 2026, 9:39 p.m.
PD Predicate disambiguation batch_69deb96c1d9c81909351558ed97bc5b7 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:05 a.m.