Triple

T15047557
Position Surface form Disambiguated ID Type / Status
Subject London bus route 73 E379269 entity
Predicate connects P390 FINISHED
Object Oxford Street E78234 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: Oxford Street | Statement: [London bus route 73, connects, Oxford Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oxford Street
Context triple: [London bus route 73, connects, Oxford Street]
  • A. Oxford Street chosen
    Oxford Street is one of London’s busiest and most famous shopping streets, known for its major retail stores and central West End location.
  • B. Oxford Street
    Oxford Street is a major thoroughfare in central Manchester, England, known for its theatres, entertainment venues, and busy city-centre traffic.
  • C. New Oxford Street
    New Oxford Street is a major shopping and traffic thoroughfare in central London that forms part of the West End’s principal east–west route.
  • D. Marylebone High Street
    Marylebone High Street is a prominent central London shopping street known for its mix of upscale boutiques, independent shops, cafés, and restaurants in the Marylebone district.
  • E. 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.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8e64e48190873104a02a676ff3 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00b272ea6c8190b22fd78081446701 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 3 a.m.