Triple

T3534471
Position Surface form Disambiguated ID Type / Status
Subject Eurobodalla region E74737 entity
Predicate majorTown P316 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 region, majorTown, Narooma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narooma
Context triple: [Eurobodalla region, majorTown, 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. 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.
  • D. Narromine
    Narromine is a rural town in western New South Wales, Australia, known for its agricultural production and aviation history.
  • E. Berrima
    Berrima is a historic village in New South Wales, Australia, known for its well-preserved colonial architecture and heritage-listed buildings.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9cff5c81909011f34c9bf28e11 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b595e7d1e481909538deb06b6007a2 completed March 14, 2026, 5:07 p.m.
Created at: March 8, 2026, 3:19 p.m.