Triple

T21320469
Position Surface form Disambiguated ID Type / Status
Subject Charing Cross Bridge, London E525597 entity
Predicate hasViewOf P854 FINISHED
Object London Eye NE NERFINISHED

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: London Eye | Statement: [Charing Cross Bridge, London, hasViewOf, London Eye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Eye
Context triple: [Charing Cross Bridge, London, hasViewOf, London Eye]
  • A. London Eye chosen
    The London Eye is a giant riverside observation wheel in central London offering panoramic views of the city’s skyline and landmarks.
  • B. Skylon Tower
    Skylon Tower is an observation tower in Niagara Falls, Ontario, known for its panoramic views of the falls and its revolving dining room.
  • C. Ain Dubai observation wheel
    Ain Dubai observation wheel is the world’s tallest observation wheel, offering panoramic views of Dubai’s skyline from its location on Bluewaters Island.
  • D. Colossus Ferris wheel
    The Colossus Ferris wheel is a giant observation wheel at Six Flags St. Louis that offers expansive aerial views of the park and surrounding area.
  • E. Seattle Great Wheel
    The Seattle Great Wheel is a large Ferris wheel on Pier 57 along Seattle’s waterfront, offering panoramic views of the city skyline and Elliott Bay.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed0a2788190b6a71c8c720173dc completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:39 p.m.