Triple

T18816042
Position Surface form Disambiguated ID Type / Status
Subject Wonnarua E460136 entity
Predicate hasAlternativeName P39 FINISHED
Object Wonnah NE NERFINISHED

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: Wonnah | Statement: [Wonnarua, hasAlternativeName, Wonnah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wonnah
Context triple: [Wonnarua, hasAlternativeName, Wonnah]
  • A. Wonnar chosen
    Wonnar is an alternative name for the Wonnarua, an Aboriginal Australian people traditionally associated with the Hunter Valley region of New South Wales.
  • B. Wunna
    Wunna is a studio album by American rapper Gunna that helped solidify his mainstream success with its melodic trap sound and chart-topping performance.
  • C. Wun Wun
    Wun Wun is a giant allied with Jon Snow in Game of Thrones, known for his immense strength and pivotal role in key battles.
  • D. Wandella
    Wandella is a rural locality within New South Wales, Australia, administered as part of the Carrathool Shire local government area.
  • E. Wanne
    Wanne is a village in the municipality of Trois-Ponts in the province of Liège, Belgium, known for its hilly Ardennes landscape and cycling routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a3e092e081908fc310c70f646e79 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:55 a.m.