Triple

T3102056
Position Surface form Disambiguated ID Type / Status
Subject Grosvenor Square E64740 entity
Predicate near P350 FINISHED
Object Bond Street E79594 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: Bond Street | Statement: [Grosvenor Square, near, Bond Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bond Street
Context triple: [Grosvenor Square, near, Bond Street]
  • A. Bond Street chosen
    Bond Street is an exclusive shopping street in London renowned for its luxury fashion boutiques, art dealers, and high-end jewelers.
  • B. 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.
  • C. Great Jones Street
    Great Jones Street is a novel by Don DeLillo that follows a reclusive rock star’s withdrawal from fame into a grimy New York apartment, exploring themes of celebrity, language, and cultural decay.
  • D. Warren Street
    Warren Street is the historic main commercial thoroughfare in Hudson, New York, known for its shops, galleries, and restaurants.
  • E. Merton Street
    Merton Street is a historic street in central Oxford, England, known for its traditional architecture and proximity to several University of Oxford colleges.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26c76ec81908d11f82be573c518 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203809fac81908047b1139b13cb04 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:03 p.m.