Triple

T10540416
Position Surface form Disambiguated ID Type / Status
Subject Cornmarket Street E248679 entity
Predicate hasConnectingStreet P36837 FINISHED
Object Magdalen Street E691789 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: Magdalen Street | Statement: [Cornmarket Street, hasConnectingStreet, Magdalen Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magdalen Street
Context triple: [Cornmarket Street, hasConnectingStreet, Magdalen Street]
  • A. Magdalen Street chosen
    Magdalen Street is a central street in Oxford, England, known for its shops, historic buildings, and proximity to major city landmarks.
  • B. Gerrard Street
    Gerrard Street is the central thoroughfare of London’s Chinatown, known for its dense concentration of Chinese restaurants, supermarkets, and cultural landmarks.
  • C. Oriel Street
    Oriel Street is a historic street in central Oxford, England, closely associated with Oriel College and the university area.
  • D. Eastgate Street
    Eastgate Street is one of the main historic shopping and thoroughfare streets in the centre of Gloucester, England.
  • E. Sidney Street
    Sidney Street is a central thoroughfare in Cambridge, England, known for its mix of shops, eateries, and historic urban character near the city’s market area.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a582be48190856c6f272eea4dcf completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739644ed48190896d7b2b6c3b5f8f completed May 3, 2026, 12:02 p.m.
Created at: April 6, 2026, 12:32 p.m.