Triple

T555739
Position Surface form Disambiguated ID Type / Status
Subject Mayfair E11937 entity
Predicate borderedBy P224 FINISHED
Object Park Lane
Park Lane is a major road in central London known for its luxury hotels, upscale residences, and proximity to Hyde Park.
 E78086 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: Park Lane | Statement: [Mayfair, borderedBy, Park Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Park Lane
Context triple: [Mayfair, borderedBy, Park Lane]
  • A. Hyde Road
    Hyde Road was a historic football ground in Manchester, England, best known as the early home of the club that became Manchester City F.C.
  • B. Weston Road
    Weston Road is a major north–south arterial route in the Greater Toronto Area that runs through communities such as Woodbridge in Vaughan.
  • C. Regent Street
    Regent Street is a major shopping and commercial thoroughfare in London’s West End, renowned for its elegant architecture and flagship retail stores.
  • D. Hampshire Street
    Hampshire Street is a roadway in Cambridge, Massachusetts, that runs through the Inman Square neighborhood and connects it with other parts of the city.
  • E. Oxford Road
    Oxford Road is a major thoroughfare in Manchester, England, known for its concentration of university buildings, cultural institutions, and transport links.
  • 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: Park Lane
Triple: [Mayfair, borderedBy, Park Lane]
Generated description
Park Lane is a major road in central London known for its luxury hotels, upscale residences, and proximity to Hyde Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Park Lane
Target entity description: Park Lane is a major road in central London known for its luxury hotels, upscale residences, and proximity to Hyde Park.
  • A. Hyde Road
    Hyde Road was a historic football ground in Manchester, England, best known as the early home of the club that became Manchester City F.C.
  • B. Weston Road
    Weston Road is a major north–south arterial route in the Greater Toronto Area that runs through communities such as Woodbridge in Vaughan.
  • C. Regent Street
    Regent Street is a major shopping and commercial thoroughfare in London’s West End, renowned for its elegant architecture and flagship retail stores.
  • D. Hampshire Street
    Hampshire Street is a roadway in Cambridge, Massachusetts, that runs through the Inman Square neighborhood and connects it with other parts of the city.
  • E. Oxford Road
    Oxford Road is a major thoroughfare in Manchester, England, known for its concentration of university buildings, cultural institutions, and transport links.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991dd7008190a6c1bc8bc832456d completed March 1, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a563c01ccc8190a8b9d3ce78ff8ca5 completed March 2, 2026, 10:17 a.m.
NEDg Description generation batch_69a565835d7c8190b5103f21ad509b40 completed March 2, 2026, 10:25 a.m.
NED2 Entity disambiguation (via description) batch_69a5662d775481908700fbd2e6809465 completed March 2, 2026, 10:27 a.m.
Created at: March 1, 2026, 7:32 p.m.