Triple

T2430206
Position Surface form Disambiguated ID Type / Status
Subject Head of the Civil Service E52823 entity
Predicate workLocation P7 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: [Head of the Civil Service, workLocation, Whitehall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitehall
Context triple: [Head of the Civil Service, workLocation, Whitehall]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. Reynolds Square
    Reynolds Square is one of Savannah, Georgia’s historic public squares, known for its charming green space, surrounding architecture, and colonial-era significance.
  • E. Hamilton Heights
    Hamilton Heights is a historic, predominantly residential neighborhood in Upper Manhattan, New York City, known for its brownstone architecture, cultural diversity, and proximity to institutions like City College.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99fcd048190a85b95a9a8ae6d4d completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf68d6a481909acd43eb31660f0e completed March 9, 2026, 12:39 p.m.
Created at: March 6, 2026, 9:43 p.m.