Triple

T10370019
Position Surface form Disambiguated ID Type / Status
Subject Mount Lindesay E244355 entity
Predicate locatedNear P294 FINISHED
Object Kyogle E249690 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: Kyogle | Statement: [Mount Lindesay, locatedNear, Kyogle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyogle
Context triple: [Mount Lindesay, locatedNear, Kyogle]
  • A. Kyogle chosen
    Kyogle is a rural town in northern New South Wales, Australia, known as a gateway to the Border Ranges and surrounding subtropical rainforest and farming country.
  • B. Walcha
    Walcha is a German surname most notably associated with Helmut Walcha, the renowned blind organist and Bach interpreter.
  • C. Walcha
    Walcha is a rural town in New South Wales, Australia, known for its pastoral farming, cool climate, and location on the Northern Tablelands near the Great Dividing Range.
  • D. Benambra
    Benambra is a Victorian state electoral district in Australia that covers a large rural area in the state's northeast, including the city of Wodonga.
  • E. Gerringong
    Gerringong is a coastal town in New South Wales, Australia, known for its scenic beaches, dairy farming countryside, and relaxed seaside atmosphere.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9737cfc81909d6302bd4177d186 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7955bb0ec8190b4d1da4af981436a completed April 9, 2026, 12:02 p.m.
Created at: April 6, 2026, 12:01 p.m.