Triple

T16762200
Position Surface form Disambiguated ID Type / Status
Subject Normandy waterways network E407373 entity
Predicate hasPart P35 FINISHED
Object River Orne E523340 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 Orne | Statement: [Normandy waterways network, hasPart, River Orne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Orne
Context triple: [Normandy waterways network, hasPart, River Orne]
  • A. River Orne chosen
    River Orne is a river in northwestern France that flows through Normandy and played a notable role in World War II, particularly during the D-Day landings.
  • B. Delme
    The Delme is a small river in northwestern Germany that flows through the town of Delmenhorst before joining larger regional waterways.
  • C. Assineau River
    The Assineau River is a small river in north-central Alberta, Canada, that drains surrounding forested and rural areas before emptying into Lesser Slave Lake.
  • D. Aulne River
    The Aulne River is a waterway in Brittany, northwestern France, that flows through rural landscapes and into the Rade de Brest on the Atlantic coast.
  • E. Oise River
    The Oise River is a major waterway in northern France and southern Belgium that flows into the Seine and serves as an important route for inland navigation and commerce.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abed67f88190afb1d392ff01a5e7 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52d077081908080c61da67e0032 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.