Triple

T9096979
Position Surface form Disambiguated ID Type / Status
Subject Visp E218049 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Visperterminen
Visperterminen is a Swiss mountain municipality in the canton of Valais, known for its high-altitude vineyards and traditional alpine village character.
E777919 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: Visperterminen | Statement: [Visp, neighboringMunicipality, Visperterminen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visperterminen
Context triple: [Visp, neighboringMunicipality, Visperterminen]
  • A. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • B. Pervalka
    Pervalka is a small, tranquil fishing village and resort settlement on Lithuania’s Curonian Spit, known for its scenic dunes, wooden houses, and quiet coastal atmosphere.
  • C. Vahka
    Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
  • D. Ninalla
    Ninalla was the wife of Gudea, the prominent ruler (ensi) of the Sumerian city-state of Lagash in the late 3rd millennium BCE.
  • E. Vauhallan
    Vauhallan is a small commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
  • 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: Visperterminen
Triple: [Visp, neighboringMunicipality, Visperterminen]
Generated description
Visperterminen is a Swiss mountain municipality in the canton of Valais, known for its high-altitude vineyards and traditional alpine village character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Visperterminen
Target entity description: Visperterminen is a Swiss mountain municipality in the canton of Valais, known for its high-altitude vineyards and traditional alpine village character.
  • A. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • B. Pervalka
    Pervalka is a small, tranquil fishing village and resort settlement on Lithuania’s Curonian Spit, known for its scenic dunes, wooden houses, and quiet coastal atmosphere.
  • C. Vahka
    Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
  • D. Ninalla
    Ninalla was the wife of Gudea, the prominent ruler (ensi) of the Sumerian city-state of Lagash in the late 3rd millennium BCE.
  • E. Vauhallan
    Vauhallan is a small commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b7d0d48190a3b15f35bef087e3 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0181a9ae88190ab80d4e80e919f42 completed April 3, 2026, 7:42 p.m.
NEDg Description generation batch_69d019652fe8819096cccb8cff431261 completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d01a290de881909482b7eb70bef0e3 completed April 3, 2026, 7:51 p.m.
Created at: March 30, 2026, 7:15 p.m.