Triple

T2982873
Position Surface form Disambiguated ID Type / Status
Subject Old Bond Street E80551 entity
Predicate partOf P40 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: [Old Bond Street, partOf, Bond Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bond Street
Context triple: [Old Bond Street, partOf, 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99a1ed44819085ae6d39943db1d9 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108f5e5c88190b9dd0a67cb159854 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:58 p.m.