Triple

T3639697
Position Surface form Disambiguated ID Type / Status
Subject Westminster, London, England E77156 entity
Predicate contains P35 FINISHED
Object Whitehall E16070 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: Whitehall | Statement: [Westminster, London, England, contains, Whitehall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitehall
Context triple: [Westminster, London, England, contains, Whitehall]
  • A. Whitehall
    Whitehall is a small town in upstate New York that serves as a regional rail stop and gateway between New York and Vermont.
  • B. Whitehall chosen
    Whitehall is the central London district that serves as the administrative heart of the United Kingdom, housing many key government departments and ministries.
  • C. Pentagon Row
    Pentagon Row is a mixed-use shopping, dining, and residential complex in Arlington, Virginia, known for its outdoor plaza and seasonal ice skating rink near the Pentagon City area.
  • D. Whitehall Terminal
    Whitehall Terminal is the Manhattan ferry terminal that serves as the primary departure and arrival point for the Staten Island Ferry across New York Harbor.
  • E. Reynolds Square
    Reynolds Square is a public square located in the coastal city of Brunswick, Georgia, serving as one of its historic urban green 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc32b83188190bfc0ed4dc8f66730 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f2a8a5c8190b84dcf4b4b8a939e completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:24 p.m.