Triple

T11227955
Position Surface form Disambiguated ID Type / Status
Subject Waterloo E265743 entity
Predicate near P350 FINISHED
Object County Hall E59704 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: County Hall | Statement: [Waterloo, near, County Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: County Hall
Context triple: [Waterloo, near, County Hall]
  • A. County Hall chosen
    County Hall is a large historic building on the South Bank of the River Thames in London, formerly the headquarters of the London County Council and now home to hotels, attractions, and offices.
  • B. Westminster City Hall
    Westminster City Hall is the main administrative headquarters of the City of Westminster in London, housing the offices and chambers of its local government.
  • C. Kensington Town Hall
    Kensington Town Hall is a prominent municipal building and civic venue in the London district of Kensington, used for local government functions and public events.
  • D. Chelsea City Hall
    Chelsea City Hall is the primary municipal government building serving the city of Chelsea, Alabama.
  • E. Street Hall
    Street Hall is a historic Yale University building that houses part of the Yale University Art Gallery’s collections and exhibition spaces.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ff7b40819089c835be710bc575 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad33fdf48190a7118c7c30577ec9 completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:30 p.m.