Triple

T11327464
Position Surface form Disambiguated ID Type / Status
Subject River Crimple E268257 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Burn Bridge E919352 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: Burn Bridge | Statement: [River Crimple, hasNearbySettlement, Burn Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burn Bridge
Context triple: [River Crimple, hasNearbySettlement, Burn Bridge]
  • A. Burn Bridge chosen
    Burn Bridge is a small village in North Yorkshire, England, situated near Harrogate and known for its rural setting and proximity to the River Crimple.
  • B. Troll Bridge
    "Troll Bridge" is a short fantasy story by Terry Pratchett set in his Discworld universe, following an aging barbarian hero on a reflective encounter with a troll.
  • C. Splatt Bridge
    Splatt Bridge is a historic canal bridge spanning the Gloucester and Sharpness Canal in Gloucestershire, England.
  • D. Hackbridge
    Hackbridge is a suburban district in South London known for its residential character and sustainable development initiatives.
  • E. Stickel Bridge
    Stickel Bridge is a major vehicular bridge in New Jersey that carries traffic for Interstate 280 across the Passaic River.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e2253881909518cad0f12ef612 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e54318be088190b57de40a2091447d completed April 19, 2026, 9:03 p.m.
Created at: April 8, 2026, 9:32 p.m.