Triple

T14029688
Position Surface form Disambiguated ID Type / Status
Subject Athlone E337553 entity
Predicate hasLandmark P105 FINISHED
Object Belgravia
Belgravia is an affluent residential district in central London, known for its grand terraces, garden squares, and embassies.
 E376796 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: Belgravia | Statement: [Athlone, hasLandmark, Belgravia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belgravia
Context triple: [Athlone, hasLandmark, Belgravia]
  • A. Belgravia
    Belgravia is an affluent, predominantly residential district in central London known for its grand terraces, garden squares, and embassies.
  • B. Briar Hill–Belgravia
    Briar Hill–Belgravia is a residential neighbourhood in Toronto, Ontario, known for its diverse community and mix of low-rise homes and apartment buildings.
  • C. Grosvenor
    Grosvenor is the middle name of Bertram Grosvenor Goodhue, a prominent American architect and designer known for his influential early 20th-century works.
  • D. Knightsbridge
    Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
  • E. Burlington Gardens
    Burlington Gardens is a street in central London’s Mayfair district, known for its historic architecture and proximity to major cultural and shopping landmarks.
  • 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: Belgravia
Triple: [Athlone, hasLandmark, Belgravia]
Generated description
Belgravia is an affluent residential district in central London, known for its grand terraces, garden squares, and embassies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belgravia
Target entity description: Belgravia is an affluent residential district in central London, known for its grand terraces, garden squares, and embassies.
  • A. Belgravia chosen
    Belgravia is an affluent, predominantly residential district in central London known for its grand terraces, garden squares, and embassies.
  • B. Briar Hill–Belgravia
    Briar Hill–Belgravia is a residential neighbourhood in Toronto, Ontario, known for its diverse community and mix of low-rise homes and apartment buildings.
  • C. Grosvenor
    Grosvenor is the middle name of Bertram Grosvenor Goodhue, a prominent American architect and designer known for his influential early 20th-century works.
  • D. Knightsbridge
    Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
  • E. Burlington Gardens
    Burlington Gardens is a street in central London’s Mayfair district, known for its historic architecture and proximity to major cultural and shopping landmarks.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa9f8248190930954d609dee5f1 completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc335a474819084c310b10e0ded9a completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fbc51585608190817e9a80666b7740 completed May 6, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69fbc57bf4188190aace2c976d842b43 completed May 6, 2026, 10:49 p.m.
Created at: April 9, 2026, 10:20 p.m.