Triple

T17665787
Position Surface form Disambiguated ID Type / Status
Subject Threadneedle Street E440376 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object King William Street 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: King William Street | Statement: [Threadneedle Street, hasNearbyLandmark, King William Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King William Street
Context triple: [Threadneedle Street, hasNearbyLandmark, King William Street]
  • A. King William Street chosen
    King William Street is a major thoroughfare in the City of London that connects key financial and commercial areas near London Bridge.
  • B. St George’s Street
    St George’s Street is a street in Hebden Bridge, West Yorkshire, England, known for housing the town’s historic Town Hall.
  • C. William Street
    William Street is a street in Lower Manhattan’s Financial District known for its proximity to major subway stations and financial institutions.
  • D. Mayne Street
    Mayne Street is the historic main commercial thoroughfare in the gold rush town of Gulgong, New South Wales, known for its preserved 19th-century streetscape.
  • E. Cumberland Street
    Cumberland Street is a downtown Toronto street located near Bay subway station, known for its proximity to the city’s central business and shopping districts.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea9d91c81908414ef38c7fb36a4 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:56 a.m.