Triple

T9416696
Position Surface form Disambiguated ID Type / Status
Subject Brixton E227039 entity
Predicate hasMarket P2714 FINISHED
Object Market Row
Market Row is a covered market in Brixton, London, known for its diverse food stalls, independent shops, and vibrant multicultural atmosphere.
 E798269 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: Market Row | Statement: [Brixton, hasMarket, Market Row]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Market Row
Context triple: [Brixton, hasMarket, Market Row]
  • A. Cornmarket Street
    Cornmarket Street is a major pedestrian shopping street in central Oxford, England, known for its busy retail activity and proximity to historic university buildings.
  • B. Cattle Market Street
    Cattle Market Street is a street in the Castle Quarter area, historically associated with livestock trading and market activity.
  • C. Albert Market
    Albert Market is a bustling historic marketplace in Banjul, The Gambia, known for its vibrant stalls selling food, textiles, crafts, and everyday goods.
  • D. Store Street
    Store Street was the original name of what is now Manchester Piccadilly railway station, a major rail hub in Manchester, England.
  • E. Catte Street
    Catte Street is a historic street in central Oxford, England, known for its proximity to major university buildings and 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: Market Row
Triple: [Brixton, hasMarket, Market Row]
Generated description
Market Row is a covered market in Brixton, London, known for its diverse food stalls, independent shops, and vibrant multicultural atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Market Row
Target entity description: Market Row is a covered market in Brixton, London, known for its diverse food stalls, independent shops, and vibrant multicultural atmosphere.
  • A. Cornmarket Street
    Cornmarket Street is a major pedestrian shopping street in central Oxford, England, known for its busy retail activity and proximity to historic university buildings.
  • B. Cattle Market Street
    Cattle Market Street is a street in the Castle Quarter area, historically associated with livestock trading and market activity.
  • C. Albert Market
    Albert Market is a bustling historic marketplace in Banjul, The Gambia, known for its vibrant stalls selling food, textiles, crafts, and everyday goods.
  • D. Store Street
    Store Street was the original name of what is now Manchester Piccadilly railway station, a major rail hub in Manchester, England.
  • E. Catte Street
    Catte Street is a historic street in central Oxford, England, known for its proximity to major university buildings and landmarks.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68cb4be08190a47f901a9703f9db completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107bfd73481908e07d0ee2774bd59 completed April 4, 2026, 12:44 p.m.
NEDg Description generation batch_69d1085a980c8190b4c6d811b07ab180 completed April 4, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69d1093f440481909aa27287019191ac completed April 4, 2026, 12:51 p.m.
Created at: March 30, 2026, 7:48 p.m.