Triple

T17248625
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Kiama E418691 entity
Predicate hasLocality P7943 FINISHED
Object Gerringong E446164 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: Gerringong | Statement: [Municipality of Kiama, hasLocality, Gerringong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerringong
Context triple: [Municipality of Kiama, hasLocality, Gerringong]
  • A. Gerringong chosen
    Gerringong is a coastal town in New South Wales, Australia, known for its scenic beaches, dairy farming countryside, and relaxed seaside atmosphere.
  • B. Woolgoolga
    Woolgoolga is a coastal town in New South Wales, Australia, known for its beaches, Sikh community, and banana plantations.
  • C. Culcairn
    Culcairn is a small rural town in the Riverina region of New South Wales, Australia, serving as a local service and transport hub.
  • D. Glenreagh
    Glenreagh is a small rural village in northern New South Wales, Australia, known for its historic timber industry and scenic surroundings near the Orara River.
  • E. Wyong
    Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e2569c081908ffd3ee9c76bcc17 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03d75acf8c819097af363f3ba93ae0 completed May 13, 2026, 1:43 a.m.
Created at: April 10, 2026, 5:39 a.m.