Triple

T3867631
Position Surface form Disambiguated ID Type / Status
Subject Narooma E91899 entity
Predicate hasAttraction P105 FINISHED
Object Montague Island E691578 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: Montague Island | Statement: [Narooma, hasAttraction, Montague Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montague Island
Context triple: [Narooma, hasAttraction, Montague Island]
  • A. Montague Island chosen
    Montague Island is a small, wildlife-rich island off the south coast of New South Wales, Australia, known for its lighthouse, seabird colonies, and large fur seal population.
  • B. Green Island
    Green Island is a small coral cay on Australia’s Great Barrier Reef renowned for its beaches, marine life, and popular snorkeling and diving opportunities near Cairns.
  • C. Green Island
    Green Island is a small, uninhabited island in Lake Erie known for its wildlife habitat and historic lighthouse remains.
  • D. Green Island
    Green Island is a popular artificial leisure island and recreational park located off the coast of Kuwait City.
  • E. Green Island
    Green Island is a small, rocky islet off the coast of Hong Kong Island, known for its historic lighthouse and role in the city's maritime navigation.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3cc1a88190924125a86f72fd5b completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c99ba1bbdc81909269ac0a97caa91d completed March 29, 2026, 9:37 p.m.
Created at: March 9, 2026, 3:19 p.m.