Triple

T13177474
Position Surface form Disambiguated ID Type / Status
Subject Midland Hotel, Bradford E313134 entity
Predicate hasStreetAddress P606 FINISHED
Object Forster Square E638015 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: Forster Square | Statement: [Midland Hotel, Bradford, hasStreetAddress, Forster Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forster Square
Context triple: [Midland Hotel, Bradford, hasStreetAddress, Forster Square]
  • A. Forster Square chosen
    Forster Square is a public square and transport hub in central Bradford, West Yorkshire, known for its adjacent railway station and nearby shopping and commercial developments.
  • B. Havelock Square
    Havelock Square is an area in Singapore known for housing key legal institutions, including the Family Justice Courts.
  • C. Lismore Square
    Lismore Square is a local shopping centre serving the retail and service needs of the community in Lismore, Ireland.
  • D. Gordon Square
    Gordon Square is a historic garden square in the Bloomsbury district of central London, known for its Georgian architecture and associations with the Bloomsbury Group.
  • E. Lechmere Square
    Lechmere Square is a major commercial and transit hub in Cambridge, Massachusetts, known for its shopping center and as a key stop on the MBTA Green Line.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c322fdc8190b05f2287eba9dda6 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5ea93bc81908087326b3d043727 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:14 p.m.