Triple

T17367911
Position Surface form Disambiguated ID Type / Status
Subject Visp District E422231 entity
Predicate contains P35 FINISHED
Object Törbel
Törbel is a traditional alpine village and municipality in the canton of Valais in southwestern Switzerland, known for its wooden houses and mountain scenery.
E1264050 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: Törbel | Statement: [Visp District, contains, Törbel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Törbel
Context triple: [Visp District, contains, Törbel]
  • A. Döbra
    Döbra is a small river in the Czech Republic that serves as a right-bank tributary of the Svatava River.
  • B. Göding
    Göding is the German name for the town of Hodonín in the South Moravian Region of the Czech Republic.
  • C. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • D. Tettenweis
    Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
  • E. Trencsén
    Trencsén is a historic town in present-day Slovakia, known for its medieval castle and its role as an important regional center in the former Upper Hungary.
  • 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: Törbel
Triple: [Visp District, contains, Törbel]
Generated description
Törbel is a traditional alpine village and municipality in the canton of Valais in southwestern Switzerland, known for its wooden houses and mountain scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Törbel
Target entity description: Törbel is a traditional alpine village and municipality in the canton of Valais in southwestern Switzerland, known for its wooden houses and mountain scenery.
  • A. Döbra
    Döbra is a small river in the Czech Republic that serves as a right-bank tributary of the Svatava River.
  • B. Göding
    Göding is the German name for the town of Hodonín in the South Moravian Region of the Czech Republic.
  • C. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • D. Tettenweis
    Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
  • E. Trencsén
    Trencsén is a historic town in present-day Slovakia, known for its medieval castle and its role as an important regional center in the former Upper Hungary.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a661fc08190a4c386125bddb16b completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019566da6c819083b59e0911d02bd5 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01962ae4848190b2aad8e19bf6522f completed May 11, 2026, 8:41 a.m.
NED2 Entity disambiguation (via description) batch_6a019b88046081909ee72d0efca7725f completed May 11, 2026, 9:04 a.m.
Created at: April 10, 2026, 5:44 a.m.