Triple

T16297095
Position Surface form Disambiguated ID Type / Status
Subject Secretary to the Treasury E395676 entity
Predicate workLocation P7 FINISHED
Object Whitehall
Whitehall is a central London district that serves as the heart of the UK government, housing numerous key ministries and administrative offices.
 E16070 NE FINISHED

How this triple was built (4 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: [Secretary to the Treasury, workLocation, Whitehall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Whitehall
Context triple: [Secretary to the Treasury, workLocation, Whitehall]
  • A. Whitehall
    Whitehall is a grand Gilded Age mansion in Palm Beach, Florida, built by Henry Flagler and now preserved as the Flagler Museum.
  • B. Whitehall
    Whitehall is a small town in upstate New York that serves as a regional rail stop and gateway between New York and Vermont.
  • C. Whitehall
    Whitehall is a small coastal settlement on the Orkney island of Stronsay in Scotland.
  • D. Whitehall
    Whitehall is a suburban borough in Allegheny County, Pennsylvania, located just south of Pittsburgh.
  • E. Whitehall
    Whitehall is a primarily residential suburb on the north side of Dublin, Ireland, known for its local schools, churches, and proximity to major routes into the city centre.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Whitehall
Triple: [Secretary to the Treasury, workLocation, Whitehall]
Generated description
Whitehall is a central London district that serves as the heart of the UK government, housing numerous key ministries and administrative offices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Whitehall
Target entity description: Whitehall is a central London district that serves as the heart of the UK government, housing numerous key ministries and administrative offices.
  • 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
    Whitehall is a primarily residential suburb on the north side of Dublin, Ireland, known for its local schools, churches, and proximity to major routes into the city centre.
  • C. Whitehall
    Whitehall is a suburban borough in Allegheny County, Pennsylvania, located just south of Pittsburgh.
  • D. Whitehall
    Whitehall is a small coastal settlement on the Orkney island of Stronsay in Scotland.
  • E. Whitehall
    Whitehall is a small town in upstate New York that serves as a regional rail stop and gateway between New York and Vermont.
  • F. None of above.

Provenance (5 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2dcdac819083918f0964dd5666 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9b42248190a3c8c2647a42aeb9 completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a0021e42c6481909c7cb0c2ed63ab27 completed May 10, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a00223de3888190a0d5d81af1fa4de2 completed May 10, 2026, 6:14 a.m.
Created at: April 10, 2026, 5:06 a.m.