Triple

T883977
Position Surface form Disambiguated ID Type / Status
Subject City of London E19087 entity
Predicate hasSkyscraper P1495 FINISHED
Object The Cheesegrater
The Cheesegrater is a distinctive, wedge-shaped skyscraper in London's financial district, officially known as the Leadenhall Building.
 E104193 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: The Cheesegrater | Statement: [City of London, hasSkyscraper, The Cheesegrater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Cheesegrater
Context triple: [City of London, hasSkyscraper, The Cheesegrater]
  • A. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • B. Nutmegger
    Nutmegger is an informal nickname for a resident or native of the U.S. state of Connecticut.
  • C. Hallidie
    Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
  • D. The Bench
    The Bench is the dedicated student cheering section for University of California, Berkeley football games, known for its energetic support and traditions during Big Game and other home matchups.
  • E. The Egg
    The Egg is an iconic, egg-shaped performing arts venue in Albany, New York, known for its distinctive modernist architecture and role as a cultural center.
  • 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: The Cheesegrater
Triple: [City of London, hasSkyscraper, The Cheesegrater]
Generated description
The Cheesegrater is a distinctive, wedge-shaped skyscraper in London's financial district, officially known as the Leadenhall Building.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Cheesegrater
Target entity description: The Cheesegrater is a distinctive, wedge-shaped skyscraper in London's financial district, officially known as the Leadenhall Building.
  • A. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • B. Nutmegger
    Nutmegger is an informal nickname for a resident or native of the U.S. state of Connecticut.
  • C. Hallidie
    Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
  • D. The Bench
    The Bench is the dedicated student cheering section for University of California, Berkeley football games, known for its energetic support and traditions during Big Game and other home matchups.
  • E. The Egg
    The Egg is an iconic, egg-shaped performing arts venue in Albany, New York, known for its distinctive modernist architecture and role as a cultural center.
  • F. None of above. chosen

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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace495348190aec66f35ea90bc89 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85a37648190b20b12c544a85bda completed March 4, 2026, 4:43 a.m.
NEDg Description generation batch_69a7bc1c418081909a7a91692bd46057 completed March 4, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_69a7bd094df08190b9ea6c350b3abb3d completed March 4, 2026, 5:03 a.m.
Created at: March 1, 2026, 7:39 p.m.