Triple

T12422365
Position Surface form Disambiguated ID Type / Status
Subject Sydney Ferries Parramatta River services E296806 entity
Predicate servesSuburb P82 FINISHED
Object Kissing Point E623965 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: Kissing Point | Statement: [Sydney Ferries Parramatta River services, servesSuburb, Kissing Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kissing Point
Context triple: [Sydney Ferries Parramatta River services, servesSuburb, Kissing Point]
  • A. Kissing Point chosen
    Kissing Point is a historic riverside locality in Sydney, Australia, known today as part of the suburb of Ryde along the Parramatta River.
  • B. Speers Point
    Speers Point is a lakeside suburb in New South Wales, Australia, known as the administrative centre of the City of Lake Macquarie.
  • C. Honeymoon Point
    Honeymoon Point is a popular scenic lookout in Mount Abu, Rajasthan, known for its romantic sunset views over the surrounding hills and valleys.
  • D. Pindi Point
    Pindi Point is a popular scenic viewpoint in Murree, Pakistan, known for its panoramic views of the surrounding hills and distant city landscapes.
  • E. Kaka Point
    Kaka Point is a small coastal settlement in New Zealand’s South Island known for its beaches, surfing, and proximity to the scenic Catlins region.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d702b1481909db5f5bed6292ce0 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ea3ec588190bca355953267578f completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:55 p.m.