Triple

T2634064
Position Surface form Disambiguated ID Type / Status
Subject Marks Barfield Architects E59702 entity
Predicate notableWork P4 FINISHED
Object British Airways 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: British Airways London Eye | Statement: [Marks Barfield Architects, notableWork, British Airways London Eye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: British Airways London Eye
Context triple: [Marks Barfield Architects, notableWork, British Airways 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. Brighton i360
    Brighton i360 is a seafront observation tower in Brighton, England, known for its glass viewing pod that offers panoramic coastal and city views.
  • D. 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.
  • E. BT Tower
    BT Tower is a prominent telecommunications tower and London landmark known for its distinctive cylindrical shape and role in broadcasting and communications.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8def9bc8190b2e013abffc7b191 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a996188190b3a83a31e69d09ef completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.