Triple

T18755922
Position Surface form Disambiguated ID Type / Status
Subject Vieux-Moulin de Vernon E458648 entity
Predicate municipality P852 FINISHED
Object Vernon 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: Vernon | Statement: [Vieux-Moulin de Vernon, municipality, Vernon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vernon
Context triple: [Vieux-Moulin de Vernon, municipality, Vernon]
  • A. Vernon
    Vernon is a suburban town in north-central Connecticut that forms part of the Greater Hartford metropolitan area.
  • B. Vernon chosen
    Vernon is a town in northern France on the Seine River, known for its picturesque setting that attracted artists such as Pierre Bonnard.
  • C. Vernon
    Vernon is a fictional character portrayed by actor Lucas Black, likely in a film or television production.
  • D. Vernon
    Vernon is a small, heavily industrial city located just south of downtown Los Angeles in Southern California.
  • E. Vernon
    Vernon is the surname of Justin Vernon, the American singer-songwriter best known as the founder and frontman of the indie folk band Bon Iver.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579f20b808190833e29830bfed937 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.