Triple

T3386353
Position Surface form Disambiguated ID Type / Status
Subject Namoi River catchment E71311 entity
Predicate hasMajorTown P316 FINISHED
Object Gunnedah E344824 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: Gunnedah | Statement: [Namoi River catchment, hasMajorTown, Gunnedah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gunnedah
Context triple: [Namoi River catchment, hasMajorTown, Gunnedah]
  • A. Gunnedah chosen
    Gunnedah is a regional town in north-western New South Wales, Australia, known for its rich agricultural production and coal mining industry.
  • B. Inverell
    Inverell is a rural town in northern New South Wales, Australia, known for its sapphire mining and agricultural production.
  • C. Woolgoolga
    Woolgoolga is a coastal town in New South Wales, Australia, known for its beaches, Sikh community, and banana plantations.
  • D. Boorowa
    Boorowa is a rural town in New South Wales, Australia, known for its rich agricultural surroundings and heritage streetscapes.
  • E. Dungog
    Dungog is a small rural town in New South Wales, Australia, known for its historic architecture, dairy farming, and proximity to the Barrington Tops National Park.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb662d190819085b211dac85a83b2 completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e5353ec819089d2736493936c46 completed March 13, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:14 p.m.