Triple

T15048333
Position Surface form Disambiguated ID Type / Status
Subject Eurobodalla E379289 entity
Predicate contains P35 FINISHED
Object Narooma E91899 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: Narooma | Statement: [Eurobodalla, contains, Narooma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narooma
Context triple: [Eurobodalla, contains, Narooma]
  • A. Narooma chosen
    Narooma is a coastal town in New South Wales, Australia, known for its scenic beaches, fishing, and proximity to Montague Island.
  • B. Boorowa
    Boorowa is a rural town in New South Wales, Australia, known for its rich agricultural surroundings and heritage streetscapes.
  • 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. Mullumbimby
    Mullumbimby is a small town in northern New South Wales, Australia, known for its alternative culture and proximity to the Byron Bay region.
  • E. 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.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8e64e48190873104a02a676ff3 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004568c93c81908450887f72de8466 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 3 a.m.