Triple

T16129444
Position Surface form Disambiguated ID Type / Status
Subject Kamilaroi Highway E391354 entity
Predicate passesThrough P225 FINISHED
Object Walgett E352504 NE 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: Walgett | Statement: [Kamilaroi Highway, passesThrough, Walgett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walgett
Context triple: [Kamilaroi Highway, passesThrough, Walgett]
  • A. Walgett chosen
    Walgett is a remote town in north-western New South Wales, Australia, known as a service centre for surrounding agricultural areas and for its location near the junction of the Namoi and Barwon rivers.
  • B. Lobethal
    Lobethal is a small town in South Australia known for its German heritage and popular annual Christmas lights festival.
  • C. Willart
    Willart is a given name or surname that functions as a variant spelling of Willard.
  • D. Murrhardt
    Murrhardt is a small historic town in the state of Baden-Württemberg in southwestern Germany, known for its scenic location in the Swabian-Franconian Forest.
  • E. Reisenberg
    Reisenberg is a small municipality in Lower Austria’s Baden District, known for its rural character and proximity to Vienna.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e202075860819088d27d921609a6ce completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a0ed9c8190a10fa88ee94811cb completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.