Triple

T16116928
Position Surface form Disambiguated ID Type / Status
Subject Sikorski statue E391025 entity
Predicate locatedNear P294 FINISHED
Object Whitehall
Whitehall is a central London street and government district that houses key UK ministries and institutions, forming the historic heart of British political administration.
 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: [Sikorski statue, locatedNear, Whitehall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Whitehall
Context triple: [Sikorski statue, locatedNear, 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: [Sikorski statue, locatedNear, Whitehall]
Generated description
Whitehall is a central London street and government district that houses key UK ministries and institutions, forming the historic heart of British political administration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Whitehall
Target entity description: Whitehall is a central London street and government district that houses key UK ministries and institutions, forming the historic heart of British political administration.
  • 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 small coastal settlement on the Orkney island of Stronsay in Scotland.
  • C. 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.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016b5c948190b0f1eccb97ee85cc completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffebab779c8190b466c26f4024aa31 completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffec4898088190bed531e33418c7e5 completed May 10, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffecce96508190a53f100e3207ebac completed May 10, 2026, 2:26 a.m.
Created at: April 10, 2026, 5 a.m.