Triple

T15483017
Position Surface form Disambiguated ID Type / Status
Subject Crookwell E376968 entity
Predicate originalName P65 FINISHED
Object Kiama E89160 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: Kiama | Statement: [Crookwell, originalName, Kiama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiama
Context triple: [Crookwell, originalName, Kiama]
  • A. Kiama chosen
    Kiama is a coastal town in New South Wales, Australia, known for its dramatic seaside scenery and famous blowhole.
  • B. Towradgi
    Towradgi is a coastal suburb in the northern part of Wollongong, New South Wales, known for its beach, rock pool, and relaxed residential character.
  • C. Mathoura
    Mathoura is a small rural town in the Riverina region of New South Wales, Australia, known for its timber industry, wetlands, and proximity to the Murray River.
  • D. Paringa
    Paringa is a small town in South Australia located near Renmark on the Murray River, known for its historic bridge and surrounding irrigated horticultural areas.
  • E. Warrimoo
    Warrimoo is a small residential village in the Lower Blue Mountains region of New South Wales, Australia, known for its bushland setting and commuter access to Sydney.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8e6ff08190b130b3a38f4190e7 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff454ac84c8190b1979e6caca3ee66 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 3:40 a.m.