Triple

T474749
Position Surface form Disambiguated ID Type / Status
Subject London Eye E9035 entity
Predicate formerName P65 FINISHED
Object Coca-Cola London Eye E9035 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: Coca-Cola London Eye | Statement: [London Eye, formerName, Coca-Cola London Eye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coca-Cola London Eye
Context triple: [London Eye, formerName, Coca-Cola 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. Blackpool Tower
    Blackpool Tower is a famous seaside landmark and entertainment complex in the English resort town of Blackpool, inspired by the Eiffel Tower and housing attractions such as a circus, ballroom, and observation deck.
  • C. 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.
  • D. The Shard
    The Shard is a landmark glass skyscraper in London known for its sharp, shard-like design and status as one of the tallest buildings in the United Kingdom.
  • E. Tempozan Giant Ferris Wheel
    Tempozan Giant Ferris Wheel is a large, popular observation wheel in Osaka, Japan, offering panoramic views of the city and Osaka Bay.
  • 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_69a2e7ff81708190b0507a24a997232c completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f039f3d88190a7c93ecbf1bf5f58 completed Feb. 28, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4711cd9ac8190bc95a6560950525b completed March 1, 2026, 5:02 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.