Triple

T16482253
Position Surface form Disambiguated ID Type / Status
Subject Pfäfers E400348 entity
Predicate hasSettlement P1068 FINISHED
Object Vasön
Vasön is a small village in the municipality of Pfäfers in the canton of St. Gallen, Switzerland, known for its scenic Alpine setting.
E1216186 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: Vasön | Statement: [Pfäfers, hasSettlement, Vasön]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasön
Context triple: [Pfäfers, hasSettlement, Vasön]
  • A. Vaxön
    Vaxön is a central island in Sweden’s Stockholm archipelago that forms the core of the town of Vaxholm and serves as an important hub for local ferry and coastal traffic.
  • B. Vágar
    Vágar is one of the main islands of the Faroe Islands, known for hosting the archipelago’s only airport and serving as a key transport hub.
  • C. Vikøyri
    Vikøyri is a village in Vestland county, Norway, known as the main settlement and service hub of the Vik municipality along the Sognefjorden.
  • D. Elduvík
    Elduvík is a small coastal village in the Faroe Islands known for its traditional turf-roofed houses and scenic fjord-side setting.
  • E. Breiðholt
    Breiðholt is a residential district in the southeastern part of Reykjavík, Iceland, known for its large housing estates and diverse population.
  • 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: Vasön
Triple: [Pfäfers, hasSettlement, Vasön]
Generated description
Vasön is a small village in the municipality of Pfäfers in the canton of St. Gallen, Switzerland, known for its scenic Alpine setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vasön
Target entity description: Vasön is a small village in the municipality of Pfäfers in the canton of St. Gallen, Switzerland, known for its scenic Alpine setting.
  • A. Vaxön
    Vaxön is a central island in Sweden’s Stockholm archipelago that forms the core of the town of Vaxholm and serves as an important hub for local ferry and coastal traffic.
  • B. Vágar
    Vágar is one of the main islands of the Faroe Islands, known for hosting the archipelago’s only airport and serving as a key transport hub.
  • C. Vikøyri
    Vikøyri is a village in Vestland county, Norway, known as the main settlement and service hub of the Vik municipality along the Sognefjorden.
  • D. Elduvík
    Elduvík is a small coastal village in the Faroe Islands known for its traditional turf-roofed houses and scenic fjord-side setting.
  • E. Breiðholt
    Breiðholt is a residential district in the southeastern part of Reykjavík, Iceland, known for its large housing estates and diverse population.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e03643881908b16ddb9004af5d0 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005820790c819088d953eeea09328d completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a0059126e588190b531c145f3c155b4 completed May 10, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0059bf355c81909d6796482fe7f3e3 completed May 10, 2026, 10:11 a.m.
Created at: April 10, 2026, 5:13 a.m.