Triple

T19463725
Position Surface form Disambiguated ID Type / Status
Subject Ornans E486939 entity
Predicate river P165 FINISHED
Object Loue 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: Loue | Statement: [Ornans, river, Loue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loue
Context triple: [Ornans, river, Loue]
  • A. Loue chosen
    The Loue is a river in eastern France, known for its scenic valleys and as a tributary of the Doubs in the Bourgogne-Franche-Comté region.
  • B. Louvois
    Louvois was a powerful French statesman, best known as Louis XIV’s influential war minister who significantly shaped France’s military administration in the late 17th century.
  • C. Rive-de-Gier
    Rive-de-Gier is a commune in central France’s Loire department, historically known for its coal mining and glassmaking industries.
  • D. Portovesme
    Portovesme is a small port and industrial locality on the southwestern coast of Sardinia, Italy, serving as a maritime hub for regional ferry and cargo traffic.
  • E. Villeblevin
    Villeblevin is a small commune in north-central France, best known as the place where writer Albert Camus died in a car accident.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633cf95988190b13b2153e67d0cac completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.