Triple

T12978642
Position Surface form Disambiguated ID Type / Status
Subject Digbeth E321594 entity
Predicate traversedBy P225 FINISHED
Object River Rea E81830 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: River Rea | Statement: [Digbeth, traversedBy, River Rea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Rea
Context triple: [Digbeth, traversedBy, 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 (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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffe46175b88190ae687073ddaa3d22 completed May 10, 2026, 1:50 a.m.
Created at: April 9, 2026, 8:38 p.m.