Triple

T4126976
Position Surface form Disambiguated ID Type / Status
Subject Bankside E92748 entity
Predicate near P350 FINISHED
Object Borough Market E113172 NE FINISHED

How this triple was built (2 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: Borough Market | Statement: [Bankside, near, Borough Market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borough Market
Context triple: [Bankside, near, Borough Market]
  • A. Borough Market chosen
    Borough Market is one of London’s oldest and most famous food markets, renowned for its diverse range of high-quality produce, street food, and artisanal goods.
  • B. Covent Garden Market
    Covent Garden Market is a historic London marketplace and tourist destination known for its shops, restaurants, street performers, and vibrant cultural atmosphere.
  • C. Greenwich Market
    Greenwich Market is a historic covered market in London known for its arts, crafts, antiques, and diverse street food stalls.
  • D. Leadenhall Market
    Leadenhall Market is a historic covered market in the City of London, renowned for its ornate Victorian architecture, boutique shops, and food stalls.
  • E. New Covent Garden Market
    New Covent Garden Market is a major wholesale fruit, vegetable, and flower market in London that supplies produce to restaurants, hotels, and retailers across the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af0219f0e48190b0a925f09d858d65 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576b96e588190bdf346a66a95138a completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:42 p.m.