Triple

T11276872
Position Surface form Disambiguated ID Type / Status
Subject Nimbin E266958 entity
Predicate nearbyTown P3883 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: [Nimbin, nearbyTown, Kyogle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyogle
Context triple: [Nimbin, nearbyTown, 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 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.
  • C. Walcha
    Walcha is a German surname most notably associated with Helmut Walcha, the renowned blind organist and Bach interpreter.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e967ebb4819080b09ed3cec44e77 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f455f0bc8190994c57264f775f60 completed April 19, 2026, 3:27 p.m.
Created at: April 8, 2026, 9:31 p.m.