Triple

T16990619
Position Surface form Disambiguated ID Type / Status
Subject Castle Street, Salisbury E412183 entity
Predicate hasName P744 FINISHED
Object Castle Street E412183 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: Castle Street | Statement: [Castle Street, Salisbury, hasName, Castle Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castle Street
Context triple: [Castle Street, Salisbury, hasName, Castle Street]
  • A. Castle Street
    Castle Street is a central street in the historic market town of Farnham in Surrey, England, known for its Georgian architecture and local shops.
  • B. Castle Street chosen
    Castle Street is a notable thoroughfare in the historic cathedral city of Salisbury, England, known for its central location and traditional streetscape.
  • C. Castle Street
    Castle Street is a road in Carlisle, England, known for housing the Tullie House Museum and Art Gallery near the historic city centre and castle.
  • D. Castle Street
    Castle Street is a major thoroughfare in central Cardiff, Wales, running past the historic Cardiff Castle and forming part of the city’s main civic and commercial area.
  • E. Castle Street
    Castle Street is a road in Cambridge, England, situated near the historic city center and close to landmarks such as Castle Hill.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d27fbaa0819099f79fc74d211647 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc14d5688190945f7ae72f724922 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.