Triple

T727166
Position Surface form Disambiguated ID Type / Status
Subject Tate Modern E14751 entity
Predicate publicTransit P1288 FINISHED
Object Blackfriars station E71034 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: Blackfriars station | Statement: [Tate Modern, publicTransit, Blackfriars station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blackfriars station
Context triple: [Tate Modern, publicTransit, Blackfriars station]
  • A. Blackfriars station chosen
    Blackfriars station is a central London railway and London Underground interchange on the north bank of the River Thames, serving both mainline and Tube services.
  • B. West End station
    West End station is a key Dallas Area Rapid Transit (DART) light rail stop serving the historic West End district in downtown Dallas, Texas.
  • C. Euston Underground station
    Euston Underground station is a major London Underground interchange serving the Euston mainline railway station on the Northern and Victoria lines.
  • D. Clarendon station
    Clarendon station is a Washington Metro rapid transit stop in Arlington, Virginia, serving the Clarendon neighborhood on the Orange Line.
  • E. London Bridge railway station
    London Bridge railway station is a major central London rail and Underground hub, serving as one of the city’s oldest and busiest commuter interchanges on the south bank of the River Thames.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a9adf08190bf2baade7e2e1c1c completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67ef6179c81908e72e3d03b61cca4 completed March 3, 2026, 6:25 a.m.
Created at: March 1, 2026, 7:37 p.m.