Triple

T21646203
Position Surface form Disambiguated ID Type / Status
Subject Val d’Hérens E534223 entity
Predicate contains P35 FINISHED
Object Euseigne
Euseigne is a small Swiss village in the canton of Valais, best known for its striking natural earth pyramids and traditional Alpine setting.
E1495763 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: Euseigne | Statement: [Val d’Hérens, contains, Euseigne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euseigne
Context triple: [Val d’Hérens, contains, Euseigne]
  • A. Edenborn
    Edenborn is a science fiction novel by Nick Sagan that continues his post-apocalyptic series exploring genetic engineering and the future of humanity.
  • B. Auriol
    Auriol is a French surname most notably borne by Vincent Auriol, the first president of the Fourth French Republic.
  • C. Eliossana
    Eliossana is the medieval Jewish name for the Spanish city of Lucena, historically known for its significant Jewish community and culture.
  • D. Levasy
    Levasy is a small city located in Jackson County in the U.S. state of Missouri.
  • E. Gelanor
    Gelanor is a figure from Greek mythology associated with the royal Perseid dynasty of Argos.
  • 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: Euseigne
Triple: [Val d’Hérens, contains, Euseigne]
Generated description
Euseigne is a small Swiss village in the canton of Valais, best known for its striking natural earth pyramids and traditional Alpine setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Euseigne
Target entity description: Euseigne is a small Swiss village in the canton of Valais, best known for its striking natural earth pyramids and traditional Alpine setting.
  • A. Edenborn
    Edenborn is a science fiction novel by Nick Sagan that continues his post-apocalyptic series exploring genetic engineering and the future of humanity.
  • B. Auriol
    Auriol is a French surname most notably borne by Vincent Auriol, the first president of the Fourth French Republic.
  • C. Eliossana
    Eliossana is the medieval Jewish name for the Spanish city of Lucena, historically known for its significant Jewish community and culture.
  • D. Levasy
    Levasy is a small city located in Jackson County in the U.S. state of Missouri.
  • E. Gelanor
    Gelanor is a figure from Greek mythology associated with the royal Perseid dynasty of Argos.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5394c570819081dbbe7e0f98f7d3 completed April 27, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1591a1a881908610f22843a3cbcd completed May 17, 2026, 7:22 p.m.
NEDg Description generation batch_6a0a16ac5ee881909ede61c149be61fa completed May 17, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_6a0a17d9a48881908d9858e40d41674c completed May 17, 2026, 7:32 p.m.
Created at: April 16, 2026, 6:35 p.m.