Triple

T4858418
Position Surface form Disambiguated ID Type / Status
Subject Zillertal E108593 entity
Predicate hasMajorTown P316 FINISHED
Object Kaltenbach
Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
E501823 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: Kaltenbach | Statement: [Zillertal, hasMajorTown, Kaltenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaltenbach
Context triple: [Zillertal, hasMajorTown, Kaltenbach]
  • A. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • B. Rohrau
    Rohrau is a small Austrian village in Lower Austria best known as the birthplace of composer Joseph Haydn.
  • C. Saletbach
    Saletbach is a mountain stream in the Bavarian Alps that feeds into the Königssee, known for its clear waters and scenic alpine surroundings.
  • D. Seckbach
    Seckbach is a district in the east of Frankfurt am Main, Germany, known for its residential character and proximity to green spaces like the Lohrberg.
  • E. Stechelberg
    Stechelberg is a small Swiss village at the end of the Lauterbrunnen Valley, known for its dramatic alpine scenery and access to hiking and cable cars into the surrounding mountains.
  • 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: Kaltenbach
Triple: [Zillertal, hasMajorTown, Kaltenbach]
Generated description
Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kaltenbach
Target entity description: Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
  • A. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • B. Rohrau
    Rohrau is a small Austrian village in Lower Austria best known as the birthplace of composer Joseph Haydn.
  • C. Saletbach
    Saletbach is a mountain stream in the Bavarian Alps that feeds into the Königssee, known for its clear waters and scenic alpine surroundings.
  • D. Seckbach
    Seckbach is a district in the east of Frankfurt am Main, Germany, known for its residential character and proximity to green spaces like the Lohrberg.
  • E. Stechelberg
    Stechelberg is a small Swiss village at the end of the Lauterbrunnen Valley, known for its dramatic alpine scenery and access to hiking and cable cars into the surrounding mountains.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d5b2f008190a5fd11d3aec165fb completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee059e7088190a04124e5918a3c42 completed March 21, 2026, 6:15 p.m.
NEDg Description generation batch_69bee66191dc8190847fe13f2cda0000 completed March 21, 2026, 6:41 p.m.
NED2 Entity disambiguation (via description) batch_69bee6e8bbcc819094f5f04743eb4013 completed March 21, 2026, 6:43 p.m.
Created at: March 20, 2026, 1:26 p.m.