Triple

T12538577
Position Surface form Disambiguated ID Type / Status
Subject River Kennet E299770 entity
Predicate flowsThrough P225 FINISHED
Object Dalham E299770 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: Dalham | Statement: [River Kennet, flowsThrough, Dalham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalham
Context triple: [River Kennet, flowsThrough, Dalham]
  • A. Dalham chosen
    Dalham is a small rural village and civil parish in West Suffolk, England, known for its historic church, manor house, and picturesque countryside setting.
  • B. Dalham Hall
    Dalham Hall is a historic country house and estate in Suffolk, England, known for its extensive grounds and association with prominent aristocratic and racing figures.
  • C. Helmsley
    Helmsley is a historic market town in North Yorkshire, England, known for its medieval castle ruins and picturesque setting on the edge of the North York Moors.
  • D. Bilsdale
    Bilsdale is a rural valley in the North York Moors of North Yorkshire, England, known for its moorland scenery and scattered farming communities.
  • E. Northallerton
    Northallerton is a historic market town and the county town of North Yorkshire, England, known for its traditional high street and role as an administrative and commercial centre for the surrounding rural area.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546ebf508190ae54857e4289c6e4 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685f99a08190b6fe4cc10f1c8d73 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:57 p.m.