Triple

T1434835
Position Surface form Disambiguated ID Type / Status
Subject London Liverpool Street E30536 entity
Predicate near P350 FINISHED
Object Liverpool Street E112158 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: Liverpool Street | Statement: [London Liverpool Street, near, Liverpool Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liverpool Street
Context triple: [London Liverpool Street, near, Liverpool Street]
  • A. South Street, London
    South Street, London is an affluent residential street in the Mayfair district historically associated with prominent figures of British high society and politics.
  • B. Lime Street
    Lime Street is a major thoroughfare in central Liverpool, England, known for its historic railway terminus and proximity to key city landmarks.
  • C. Liverpool Street station chosen
    Liverpool Street station is a major central London railway terminus and London Underground station, serving as a key hub for commuter and regional services, particularly to the east of England and Stansted Airport.
  • D. Trinity Square
    Trinity Square is a historic public square in the City of London, known for its memorials and proximity to the Tower of London.
  • E. Admiralty Embankment
    Admiralty Embankment is a prominent riverside street and embankment along the Neva River in central Saint Petersburg, Russia, known for its historic architecture and proximity to major landmarks.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c500a9888190a16fbb1ec97a79c9 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad017084908190a81a784ae4a53c21 completed March 8, 2026, 4:56 a.m.
Created at: March 1, 2026, 8 p.m.