Triple

T148874
Position Surface form Disambiguated ID Type / Status
Subject His Majesty’s Government E3387 entity
Predicate meetsAt P373 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: [His Majesty’s Government, meetsAt, Whitehall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitehall
Context triple: [His Majesty’s Government, meetsAt, 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. Hyde Park
    "Hyde Park" is a Caroline-era comedy play by James Shirley, known for its witty depiction of London society and romantic intrigues set around the famous London park.
  • C. Hyde Park
    Hyde Park is a historic town in New York’s Hudson Valley best known as the longtime home of President Franklin D. Roosevelt and several notable Gilded Age estates.
  • D. Hyde Park
    Hyde Park is a historic and upscale residential and shopping district located just southwest of downtown Tampa, Florida.
  • E. Inman Square
    Inman Square is a vibrant, historically working-class neighborhood and commercial district in Cambridge, Massachusetts, known for its diverse restaurants, bars, and local businesses.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a257ecb6f48190992c4c8ca908a81c completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35e9fb768819087282451ec8051b0 completed Feb. 28, 2026, 9:31 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.