Triple

T3789703
Position Surface form Disambiguated ID Type / Status
Subject Katoomba E89614 entity
Predicate hasAttraction P105 FINISHED
Object Echo Point Lookout E72881 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: Echo Point Lookout | Statement: [Katoomba, hasAttraction, Echo Point Lookout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Echo Point Lookout
Context triple: [Katoomba, hasAttraction, Echo Point Lookout]
  • A. Echo Point lookout chosen
    Echo Point lookout is a famous viewing platform in Australia’s Blue Mountains that offers panoramic views of the Jamison Valley and the Three Sisters rock formation.
  • B. Tower Hill Lookout
    Tower Hill Lookout is a scenic observation point in Parry Sound, Ontario, offering panoramic views of the town and Georgian Bay.
  • C. Mount Victoria Lookout
    Mount Victoria Lookout is a popular scenic viewpoint in Wellington, New Zealand, offering panoramic views over the city, harbor, and surrounding hills.
  • D. Mount Victoria Lookout
    Mount Victoria Lookout is a scenic vantage point in the Blue Mountains region of New South Wales, Australia, offering expansive views of the surrounding valleys and cliffs.
  • E. Mount Ainslie Lookout
    Mount Ainslie Lookout is a popular panoramic viewing point in Canberra, Australia, offering sweeping views over the city and its landmarks.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76733248190a24a1143c64bd6c6 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05326dc81909a4523c8f2062c25 completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.