Triple

T20499030
Position Surface form Disambiguated ID Type / Status
Subject Triesenberg E503251 entity
Predicate contains P35 FINISHED
Object Malbun
Malbun is a small alpine village and ski resort in Liechtenstein, known for its winter sports and mountain tourism.
E1434161 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: Malbun | Statement: [Triesenberg, contains, Malbun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malbun
Context triple: [Triesenberg, contains, Malbun]
  • A. Vispertal
    Vispertal is a valley in the Swiss canton of Valais, known for its alpine landscapes and as a key access route to several high mountain regions.
  • B. Moraro
    Moraro is a small municipality in northeastern Italy, located in the Friuli Venezia Giulia region near the border with Slovenia.
  • C. Muggia
    Muggia is a coastal town in northeastern Italy near the border with Slovenia, known for its Venetian-style historic center and small harbor on the Gulf of Trieste.
  • D. Taibach
    Taibach is a residential area and community within the county borough of Neath Port Talbot in South Wales, historically associated with the steel industry and the town of Port Talbot.
  • E. Montilivi
    Montilivi is a neighborhood in Girona, Catalonia, Spain, known for hosting the Estadi Montilivi football stadium.
  • 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: Malbun
Triple: [Triesenberg, contains, Malbun]
Generated description
Malbun is a small alpine village and ski resort in Liechtenstein, known for its winter sports and mountain tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Malbun
Target entity description: Malbun is a small alpine village and ski resort in Liechtenstein, known for its winter sports and mountain tourism.
  • A. Vispertal
    Vispertal is a valley in the Swiss canton of Valais, known for its alpine landscapes and as a key access route to several high mountain regions.
  • B. Moraro
    Moraro is a small municipality in northeastern Italy, located in the Friuli Venezia Giulia region near the border with Slovenia.
  • C. Muggia
    Muggia is a coastal town in northeastern Italy near the border with Slovenia, known for its Venetian-style historic center and small harbor on the Gulf of Trieste.
  • D. Taibach
    Taibach is a residential area and community within the county borough of Neath Port Talbot in South Wales, historically associated with the steel industry and the town of Port Talbot.
  • E. Montilivi
    Montilivi is a neighborhood in Girona, Catalonia, Spain, known for hosting the Estadi Montilivi football stadium.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbff210819089900e9a35911f48 completed April 20, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893bd1c508190bbba38fb36650723 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a0894634f748190ae0a3be77125bf03 completed May 16, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08958072d08190a0e4ba12c7e550ea completed May 16, 2026, 4:04 p.m.
Created at: April 16, 2026, 11:35 a.m.