Triple

T15806002
Position Surface form Disambiguated ID Type / Status
Subject Gorokan E383217 entity
Predicate hasNearbySuburb P41355 FINISHED
Object Toukley E67669 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: Toukley | Statement: [Gorokan, hasNearbySuburb, Toukley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toukley
Context triple: [Gorokan, hasNearbySuburb, Toukley]
  • A. Toukley chosen
    Toukley is a coastal town in New South Wales, Australia, situated between Tuggerah Lake and Budgewoi Lake on the Central Coast.
  • B. Weeton
    Weeton is a small rural village in Lancashire, England, known for its agricultural surroundings and traditional English countryside character.
  • C. 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.
  • D. Cannonvale
    Cannonvale is a coastal town in Queensland, Australia, situated in the Whitsunday region near the popular tourist hub of Airlie Beach.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52682548190998d8b6a08982877 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998d17648190b9f020632461965f completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.