Triple

T15705897
Position Surface form Disambiguated ID Type / Status
Subject Horse Guards Avenue E380707 entity
Predicate hasCategory P87 FINISHED
Object Whitehall
Whitehall is a central London district that serves as the heart of the UK government, housing numerous key ministries and official buildings.
 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: [Horse Guards Avenue, hasCategory, Whitehall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Whitehall
Context triple: [Horse Guards Avenue, hasCategory, 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: [Horse Guards Avenue, hasCategory, Whitehall]
Generated description
Whitehall is a central London district that serves as the heart of the UK government, housing numerous key ministries and official buildings.
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 official buildings.
  • 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 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 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f70d44c81909edba6bd4b58b1c5 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9090e25481909f142b54ac4802f8 completed May 9, 2026, 7:52 p.m.
NEDg Description generation batch_69ff92d044f48190baefcf932f369350 completed May 9, 2026, 8:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff934af4288190b3d3cad6af142334 completed May 9, 2026, 8:04 p.m.
Created at: April 10, 2026, 4:45 a.m.