Triple

T25663011
Position Surface form Disambiguated ID Type / Status
Subject River Wansbeck E643435 entity
Predicate hasFloodHistoryIn P17084 FINISHED
Object Morpeth NE NERFINISHED

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: Morpeth | Statement: [River Wansbeck, hasFloodHistoryIn, Morpeth]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFloodHistoryIn
Context triple: [River Wansbeck, hasFloodHistoryIn, Morpeth]
  • A. hasFloodHistory chosen
    Indicates that the subject has experienced one or more flood events in the past.
  • B. hasFloodRisk
    Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
  • C. floodRecord
    Indicates that an entity serves as a documented record or report of a flood event affecting another entity or area.
  • D. hasFloodProtectionProject
    Indicates that a flood protection project exists or is implemented for the referenced entity.
  • E. hasFloodRiskAreas
    Indicates that certain areas are subject to potential flooding or are classified as being at risk of flood events.
  • F. None of above.

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_69e77e7e45648190a068ed3faa8016ea completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5faf125388190bf20dd812f1a2632 completed May 2, 2026, 1:24 p.m.
PD Predicate disambiguation batch_69f5afec3e94819080d9ba86cf8c866e completed May 2, 2026, 8:03 a.m.
Created at: April 21, 2026, 6:57 p.m.