Triple

T7737111
Position Surface form Disambiguated ID Type / Status
Subject Wardour Street E175410 entity
Predicate crosses P416 FINISHED
Object Old Compton Street E133989 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: Old Compton Street | Statement: [Wardour Street, crosses, Old Compton Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Compton Street
Context triple: [Wardour Street, crosses, Old Compton Street]
  • A. Old Compton Street chosen
    Old Compton Street is a famous thoroughfare in London’s Soho district known for its vibrant nightlife, LGBTQ+ scene, and eclectic mix of bars, cafés, and restaurants.
  • B. Curzon Street
    Curzon Street is a prestigious street in London’s Mayfair district, known for its historic architecture, embassies, and exclusive residences.
  • C. Old Street
    Old Street is a major road and surrounding area in central London, known as a key hub for technology companies and startups within the city's "Silicon Roundabout" district.
  • D. Thurloe Street
    Thurloe Street is a street in South Kensington, London, known for its proximity to major museums and its entrance to South Kensington Underground station.
  • E. Catte Street
    Catte Street is a historic street in central Oxford, England, known for its proximity to major university buildings and landmarks.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035a97688190bf93efeee2e365ec completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7c4482881908f7e763f019358cc completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:07 p.m.