Triple

T8760198
Position Surface form Disambiguated ID Type / Status
Subject Piz Bernina E208176 entity
Predicate near P350 FINISHED
Object Pontresina E517740 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: Pontresina | Statement: [Piz Bernina, near, Pontresina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pontresina
Context triple: [Piz Bernina, near, Pontresina]
  • A. Pontresina chosen
    Pontresina is a Swiss alpine resort village in the canton of Graubünden, known for its scenic mountain landscapes and proximity to St. Moritz in the Upper Engadine valley.
  • B. Arosa
    Arosa is a Swiss alpine resort town in the canton of Graubünden, known for its skiing, hiking, and scenic mountain landscapes.
  • C. Cervinia
    Cervinia is a popular Italian Alpine village and ski resort at the foot of the Matterhorn, known for its extensive high-altitude slopes and links to Zermatt in Switzerland.
  • D. Klosters
    Klosters is a renowned Swiss Alpine village and ski resort in the canton of Graubünden, popular for its picturesque scenery and winter sports.
  • E. Ischgl
    Ischgl is a popular Austrian ski resort town in the Paznaun Valley, renowned for its extensive slopes and lively après-ski scene.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5df9729481908679151988b76d2f completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfa033e1b4819083521484f46078a1 completed April 3, 2026, 11:10 a.m.
Created at: March 30, 2026, 6:40 p.m.