Triple

T14556097
Position Surface form Disambiguated ID Type / Status
Subject Vilaine E341545 entity
Predicate flowsThrough P225 FINISHED
Object Redon E393208 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: Redon | Statement: [Vilaine, flowsThrough, Redon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Redon
Context triple: [Vilaine, flowsThrough, Redon]
  • A. Redon
    Redon is a French surname most notably associated with the Symbolist painter and printmaker Odilon Redon.
  • B. Redon chosen
    Redon is a small historic town in western France known for its canal junction and medieval abbey, situated near the borders of Brittany and Pays de la Loire.
  • C. Murillo
    Murillo was a prominent 17th-century Spanish Baroque painter renowned for his religious works and tender, luminous depictions of everyday life.
  • D. Murillo
    Murillo is a small Colombian town in the Tolima department, known as a gateway for trekking and mountaineering in the Los Nevados National Natural Park.
  • E. Murillo
    Murillo is a small rural community located within the Municipality of Oliver Paipoonge in northwestern Ontario, Canada.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f1490881908673f429e5288c86 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8abde0308190819da6867e703ea7 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.