Triple

T19786725
Position Surface form Disambiguated ID Type / Status
Subject Ringelspitz E475288 entity
Predicate near P350 FINISHED
Object Flims 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: Flims | Statement: [Ringelspitz, near, Flims]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flims
Context triple: [Ringelspitz, near, Flims]
  • A. Flims chosen
    Flims is a Swiss alpine resort village in the canton of Graubünden, known for its skiing, hiking, and scenic mountain landscapes.
  • B. Movies!
    Movies! is an American digital multicast television network specializing in classic and older feature films, typically airing uncut and in their original aspect ratios.
  • C. Films 7
    Films 7 is a French film production company known for backing movies such as the comedy-thriller "La Totale!".
  • D. Cinema
    "Cinema" is a popular electronic dance track by Italian DJ and producer Benny Benassi, widely recognized for its catchy melody and influential role in early 2010s EDM.
  • E. Cinema
    Cinema is a short-lived 1980s progressive rock band formed by former Yes members, best known as the precursor project that evolved into the re-formed Yes lineup featuring Trevor Rabin.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65389145881909385f36f56cd250b completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.