Triple

T20917185
Position Surface form Disambiguated ID Type / Status
Subject Ftan E515101 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Tarasp 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: Tarasp | Statement: [Ftan, neighboringMunicipality, Tarasp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarasp
Context triple: [Ftan, neighboringMunicipality, Tarasp]
  • A. Tarasp chosen
    Tarasp is a picturesque village and former municipality in the Lower Engadine region of the Swiss canton of Graubünden, best known for its historic hilltop castle overlooking the Inn River valley.
  • B. Þjazi
    Þjazi is a giant from Norse mythology best known for kidnapping the goddess Iðunn and stealing her apples of immortality.
  • C. Severin
    Severin is a locality within the municipality of Persenbeug-Gottsdorf in Lower Austria.
  • D. Severin
    Severin is a fictional character in John Irving’s novel "The 158-Pound Marriage," involved in the complex, emotionally fraught partner-swapping relationships at the center of the story.
  • E. Tapolca
    Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
  • 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec635f4881909a560fb891100d8c completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.