Triple

T2853136
Position Surface form Disambiguated ID Type / Status
Subject Parramatta River E63137 entity
Predicate flowsThrough P225 FINISHED
Object Ryde E282940 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: Ryde | Statement: [Parramatta River, flowsThrough, Ryde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryde
Context triple: [Parramatta River, flowsThrough, Ryde]
  • A. Ryde
    Ryde is a prominent seaside town and popular tourist destination on the Isle of Wight in England.
  • B. Ryde chosen
    Ryde is a suburban area in northern Sydney, Australia, known for its residential neighborhoods, commercial centers, and proximity to the Parramatta River.
  • C. Camberwell
    Camberwell is a district in south London known for its diverse community, vibrant arts scene, and mix of historic and modern urban character.
  • D. Lankershim
    Lankershim is a surname most notably associated with Isaac Lankershim, a 19th-century landowner and developer influential in the early growth of the Los Angeles area.
  • E. Docklands
    Docklands is a modern waterfront suburb in Melbourne, Australia, known for its high-rise developments, entertainment venues, and harbourside attractions.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5e043c8190ac82112abce7262a completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8e4e0b881908de5c4927609725e completed March 10, 2026, 9:48 a.m.
Created at: March 6, 2026, 10:02 p.m.