Triple

T15152388
Position Surface form Disambiguated ID Type / Status
Subject Maria Jackson E361975 entity
Predicate associatedWith P37 FINISHED
Object Bannerman Road E354558 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: Bannerman Road | Statement: [Maria Jackson, associatedWith, Bannerman Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bannerman Road
Context triple: [Maria Jackson, associatedWith, Bannerman Road]
  • A. Bannerman Road chosen
    Bannerman Road is a fictional suburban street in the Doctor Who universe, best known as the primary setting of The Sarah Jane Adventures.
  • B. Denman Street
    Denman Street is a prominent commercial and dining thoroughfare in Vancouver’s West End, known for its diverse restaurants, cafes, and proximity to English Bay and Stanley Park.
  • C. Birchmount Road
    Birchmount Road is a major north–south arterial street in Toronto, Ontario, running through several neighbourhoods including Clairlea–Birchmount.
  • D. Mackenzie Avenue
    Mackenzie Avenue is a notable street in downtown Ottawa, Ontario, running alongside key national landmarks and institutions near Parliament Hill.
  • E. Renfrew Street
    Renfrew Street is a major thoroughfare in Glasgow, Scotland, known for its central location and proximity to key cultural and educational institutions.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00609040081908c849475a2fa6443 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff44ef081908db5826c2626df06 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.