Triple

T20986930
Position Surface form Disambiguated ID Type / Status
Subject Lafayette Street E516913 entity
Predicate connectedTo P37 FINISHED
Object Bond Street NE NERFINISHED

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: [Lafayette Street, connectedTo, Bond Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bond Street
Context triple: [Lafayette Street, connectedTo, 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. Brougham Street
    Brougham Street is a local road in the Mount Victoria suburb of Wellington, New Zealand, running through a predominantly residential inner-city area.
  • C. Carrington Street
    Carrington Street is a central thoroughfare in Nottingham, England, known for connecting the city centre with Nottingham railway station and the surrounding transport hub.
  • D. 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.
  • E. Regent Street
    Regent Street is a central street in Cambridge, England, known for its mix of university buildings, shops, and access to key city thoroughfares.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe3fbac819086d3079aaddca5b1 completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:49 p.m.