Triple

T4971617
Position Surface form Disambiguated ID Type / Status
Subject Gstaad E111663 entity
Predicate hasNearbyResort P3449 FINISHED
Object Zweisimmen
Zweisimmen is a Swiss alpine village in the Bernese Oberland that serves as a gateway to the Gstaad ski region and a hub for outdoor mountain activities.
 E483743 NE FINISHED

How this triple was built (4 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: Zweisimmen | Statement: [Gstaad, hasNearbyResort, Zweisimmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zweisimmen
Context triple: [Gstaad, hasNearbyResort, Zweisimmen]
  • A. Paar
    Paar is a surname most notably associated with American television host and comedian Jack Paar, a pioneering figure of late-night talk shows.
  • B. Zehrfuss
    Zehrfuss is the surname of Bernard Zehrfuss, a prominent 20th-century French modernist architect known for major public and institutional buildings.
  • C. Ñuble
    Ñuble is an administrative region in central Chile known for its agricultural production, wine-making, and the city of Chillán as its capital.
  • D. Duala
    Duala is a Bantu language spoken primarily by the Duala people in the coastal regions of Cameroon, especially around the city of Douala.
  • E. ZWEI
    ZWEI is an early extensible text editor developed at MIT, notable as a precursor and influence on later Emacs implementations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zweisimmen
Triple: [Gstaad, hasNearbyResort, Zweisimmen]
Generated description
Zweisimmen is a Swiss alpine village in the Bernese Oberland that serves as a gateway to the Gstaad ski region and a hub for outdoor mountain activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zweisimmen
Target entity description: Zweisimmen is a Swiss alpine village in the Bernese Oberland that serves as a gateway to the Gstaad ski region and a hub for outdoor mountain activities.
  • A. Paar
    Paar is a surname most notably associated with American television host and comedian Jack Paar, a pioneering figure of late-night talk shows.
  • B. Zehrfuss
    Zehrfuss is the surname of Bernard Zehrfuss, a prominent 20th-century French modernist architect known for major public and institutional buildings.
  • C. Ñuble
    Ñuble is an administrative region in central Chile known for its agricultural production, wine-making, and the city of Chillán as its capital.
  • D. Duala
    Duala is a Bantu language spoken primarily by the Duala people in the coastal regions of Cameroon, especially around the city of Douala.
  • E. ZWEI
    ZWEI is an early extensible text editor developed at MIT, notable as a precursor and influence on later Emacs implementations.
  • F. None of above. chosen

Provenance (5 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7214e18c81909db1c838a4cce78d completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81fa9108819089a6258e3a88f0cb completed March 21, 2026, 11:33 a.m.
NEDg Description generation batch_69be8386d2fc8190a450b42dd5ac6963 completed March 21, 2026, 11:39 a.m.
NED2 Entity disambiguation (via description) batch_69be841d148881908aa53953bd2eb024 completed March 21, 2026, 11:42 a.m.
Created at: March 20, 2026, 1:33 p.m.