Triple

T6037296
Position Surface form Disambiguated ID Type / Status
Subject River Swale E134453 entity
Predicate flowsThrough P225 FINISHED
Object Boroughbridge E411065 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: Boroughbridge | Statement: [River Swale, flowsThrough, Boroughbridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boroughbridge
Context triple: [River Swale, flowsThrough, Boroughbridge]
  • A. Boroughbridge chosen
    Boroughbridge is a small historic town in North Yorkshire, England, which formerly served as a parliamentary borough represented in the UK Parliament.
  • B. Marple Bridge
    Marple Bridge is a village in the Metropolitan Borough of Stockport, Greater Manchester, known for its picturesque setting along the River Goyt and its traditional stone buildings.
  • C. Gadebridge
    Gadebridge is a residential area and suburb of Hemel Hempstead in Hertfordshire, England.
  • D. Northbourne
    Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
  • E. Briggate
    Briggate is one of the main historic shopping streets in Leeds city centre, known for its major retail stores and pedestrian-friendly layout.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056cb06508190a90beb4d9d083835 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139031248190b796a655bf07a4bc completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:08 p.m.