Triple

T19012930
Position Surface form Disambiguated ID Type / Status
Subject Salesforce Tower London E465271 entity
Predicate servedBy P82 FINISHED
Object Bank station 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: Bank station | Statement: [Salesforce Tower London, servedBy, Bank station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bank station
Context triple: [Salesforce Tower London, servedBy, Bank station]
  • A. Bank station chosen
    Bank station is a major central London interchange on the Underground and Docklands Light Railway network, serving as a key hub in the City of London financial district.
  • B. Airport Station
    Airport Station is a Shenzhen Metro rapid transit station serving Shenzhen Bao'an International Airport on Line 11.
  • C. Terminal Station
    Terminal Station is a passenger stop on Detroit Metropolitan Airport’s McNamara Terminal ExpressTram automated people mover system.
  • D. Terminal Station
    Terminal Station is a 1953 Italian-American romantic drama film directed by Vittorio De Sica, known for starring Montgomery Clift and Jennifer Jones in a story of a brief, doomed love affair in Rome.
  • E. Bay station
    Bay station is a Toronto subway station located in the downtown area, serving the Bloor–Danforth line and providing access to the upscale Yorkville neighborhood.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a9bac8819093f9af57000667b0 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:02 p.m.