Triple

T7007039
Position Surface form Disambiguated ID Type / Status
Subject Rimpfischhorn E162481 entity
Predicate nearestResort P42027 FINISHED
Object Saas-Fee E99773 NE FINISHED

How this triple was built (3 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: Saas-Fee | Statement: [Rimpfischhorn, nearestResort, Saas-Fee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saas-Fee
Context triple: [Rimpfischhorn, nearestResort, Saas-Fee]
  • A. Saas-Fee chosen
    Saas-Fee is a high-altitude Swiss alpine village and ski resort in the Valais Alps, known for its car-free center, extensive glacier skiing, and dramatic mountain scenery.
  • B. Visp
    Visp is a small town in the canton of Valais in southwestern Switzerland, situated in the Rhône valley and known as a regional transport hub and gateway to nearby Alpine resorts.
  • C. Wengen
    Wengen is a car-free Swiss alpine village and popular ski and hiking resort located in the Bernese Oberland region.
  • D. Kandersteg
    Kandersteg is a Swiss mountain village and popular tourist resort known for its scenic alpine landscapes, hiking trails, and access to Lake Oeschinen.
  • E. Gstaad
    Gstaad is an upscale Swiss alpine resort village renowned for its luxury hotels, skiing, and exclusive social scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearestResort
Context triple: [Rimpfischhorn, nearestResort, Saas-Fee]
  • A. nearbyResortSection
    Indicates that one resort section is located close to another resort section in physical proximity.
  • B. nearbyResortArea chosen
    Indicates that a resort area is located close to or within a short distance of a specified place or entity.
  • C. nearestHut
    Indicates that one hut is the closest in distance to a given reference point or entity compared to all other huts.
  • D. nearbyTo
    Indicates that one entity is located close in distance or position to another entity.
  • E. nearestTownCenter
    Indicates that one location is the closest town center to another specified point or area.
  • F. None of above.

Provenance (4 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc35cb848190a839919021efce81 completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a311a7bc8190ba2c6f58f202365b completed March 28, 2026, 9:44 a.m.
PD Predicate disambiguation batch_69c6d7c67c94819084fdcf0398606027 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:33 p.m.