Triple

T3707795
Position Surface form Disambiguated ID Type / Status
Subject Sils Maria E80934 entity
Predicate locatedIn P40 FINISHED
Object Upper Engadine E120227 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: Upper Engadine | Statement: [Sils Maria, locatedIn, Upper Engadine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Upper Engadine
Context triple: [Sils Maria, locatedIn, Upper Engadine]
  • A. Engadine valley chosen
    The Engadine valley is a high Alpine valley in the canton of Graubünden in southeastern Switzerland, renowned for its dramatic mountain scenery, lakes, and traditional Romansh-speaking communities.
  • B. Toggenburg valley
    Toggenburg valley is a picturesque alpine valley in northeastern Switzerland known for its traditional villages, hiking and skiing areas, and scenic mountain landscapes.
  • C. Oberegg
    Oberegg is a Swiss municipality in the canton of Appenzell Innerrhoden, known for its rural landscape and location in the Appenzell region.
  • D. Thun
    Thun is a historic Swiss town in the canton of Bern, known for its medieval old town, lakeside setting on Lake Thun, and views of the surrounding Alps.
  • E. Alpstein region
    The Alpstein region is a picturesque mountain area in northeastern Switzerland, known for its dramatic limestone peaks, extensive hiking trails, and traditional alpine landscapes.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc580b08481908391283778d5ce14 completed March 8, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db06e8e481908d1f026ce647a6a5 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:33 p.m.