Triple

T13382862
Position Surface form Disambiguated ID Type / Status
Subject Rea Valley Route walking and cycling path E319361 entity
Predicate follows P134 FINISHED
Object River Rea 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: River Rea | Statement: [Rea Valley Route walking and cycling path, follows, River Rea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Rea
Context triple: [Rea Valley Route walking and cycling path, follows, River Rea]
  • A. River Rea chosen
    The River Rea is a small urban river in the West Midlands of England that flows through and historically helped shape the city of Birmingham.
  • B. River Rea
    River Rea is a small river in Shropshire, England, that flows through rural landscapes before joining larger watercourses in the region.
  • C. Ceira River
    The Ceira River is a river in central Portugal that flows through the Coimbra District before joining the Mondego River.
  • D. Farah River
    The Farah River is a major waterway in western Afghanistan that flows through arid regions, supporting agriculture and settlements along its course before draining toward the Sistan Basin.
  • E. Era River
    The Era River is a smaller watercourse in Tuscany, Italy, that flows through the province of Pisa before joining the Arno River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
Created at: April 9, 2026, 9:33 p.m.