Triple

T19841139
Position Surface form Disambiguated ID Type / Status
Subject Kitzbühel District E476730 entity
Predicate contains P35 FINISHED
Object Kirchdorf in Tirol
Kirchdorf in Tirol is a picturesque municipality in the Austrian state of Tyrol, known for its alpine scenery and outdoor recreation opportunities.
E1399278 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: Kirchdorf in Tirol | Statement: [Kitzbühel District, contains, Kirchdorf in Tirol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirchdorf in Tirol
Context triple: [Kitzbühel District, contains, Kirchdorf in Tirol]
  • A. Kirchberg in Tirol
    Kirchberg in Tirol is a picturesque Austrian village in the Tyrolean Alps known for its skiing, hiking, and proximity to the famous resort town of Kitzbühel.
  • B. Kirchdorf im Wald
    Kirchdorf im Wald is a small municipality in the Bavarian Forest region of southeastern Germany.
  • C. Kirchdorf
    Kirchdorf is a small municipality in the Bavarian district of Kelheim in southern Germany.
  • D. Kirchstetten, Austria
    Kirchstetten, Austria is a small Lower Austrian village best known as the longtime home of poet W. H. Auden, whose former house there is now a literary memorial.
  • E. Kiliansdorf
    Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
  • 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: Kirchdorf in Tirol
Triple: [Kitzbühel District, contains, Kirchdorf in Tirol]
Generated description
Kirchdorf in Tirol is a picturesque municipality in the Austrian state of Tyrol, known for its alpine scenery and outdoor recreation opportunities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kirchdorf in Tirol
Target entity description: Kirchdorf in Tirol is a picturesque municipality in the Austrian state of Tyrol, known for its alpine scenery and outdoor recreation opportunities.
  • A. Kirchberg in Tirol
    Kirchberg in Tirol is a picturesque Austrian village in the Tyrolean Alps known for its skiing, hiking, and proximity to the famous resort town of Kitzbühel.
  • B. Kirchdorf im Wald
    Kirchdorf im Wald is a small municipality in the Bavarian Forest region of southeastern Germany.
  • C. Kirchdorf
    Kirchdorf is a small municipality in the Bavarian district of Kelheim in southern Germany.
  • D. Kirchstetten, Austria
    Kirchstetten, Austria is a small Lower Austrian village best known as the longtime home of poet W. H. Auden, whose former house there is now a literary memorial.
  • E. Kiliansdorf
    Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6580576748190b85e234b01209ae7 completed April 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbb8f640819094226b0924bb362c completed May 16, 2026, 2:51 a.m.
NEDg Description generation batch_6a07dc43a2fc8190991ae7acbe085876 completed May 16, 2026, 2:53 a.m.
NED2 Entity disambiguation (via description) batch_6a07dce4d44481909bc79b8e616ae743 completed May 16, 2026, 2:56 a.m.
Created at: April 10, 2026, 1:51 p.m.