Triple

T6324099
Position Surface form Disambiguated ID Type / Status
Subject Kitzbühel Alps E141817 entity
Predicate hasResort P4287 FINISHED
Object Söll
Söll is a popular Austrian village and ski resort in the Kitzbühel Alps, known for its extensive winter sports facilities and scenic alpine setting.
E584296 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: Söll | Statement: [Kitzbühel Alps, hasResort, Söll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Söll
Context triple: [Kitzbühel Alps, hasResort, Söll]
  • A. Sundvollen
    Sundvollen is a small village in Norway known for its scenic location by Tyrifjorden and as a gateway to popular hiking areas like Krokskogen and viewpoints such as Kongens utsikt.
  • B. Spremberg
    Spremberg is a small town in eastern Germany’s Lusatia region, known for its location along the River Spree and its historic town center.
  • C. Bergshamra
    Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
  • D. Valle-Hovin
    Valle-Hovin is a residential and recreational neighborhood in Oslo, Norway, known for its sports facilities and event venues.
  • E. Timsälven
    Timsälven is a river in central Sweden that flows through the Karlskoga area in Örebro County.
  • 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: Söll
Triple: [Kitzbühel Alps, hasResort, Söll]
Generated description
Söll is a popular Austrian village and ski resort in the Kitzbühel Alps, known for its extensive winter sports facilities and scenic alpine setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Söll
Target entity description: Söll is a popular Austrian village and ski resort in the Kitzbühel Alps, known for its extensive winter sports facilities and scenic alpine setting.
  • A. Sundvollen
    Sundvollen is a small village in Norway known for its scenic location by Tyrifjorden and as a gateway to popular hiking areas like Krokskogen and viewpoints such as Kongens utsikt.
  • B. Spremberg
    Spremberg is a small town in eastern Germany’s Lusatia region, known for its location along the River Spree and its historic town center.
  • C. Bergshamra
    Bergshamra is a residential district in the northern Stockholm urban area of Sweden, known for its proximity to green spaces and good public transport connections.
  • D. Valle-Hovin
    Valle-Hovin is a residential and recreational neighborhood in Oslo, Norway, known for its sports facilities and event venues.
  • E. Timsälven
    Timsälven is a river in central Sweden that flows through the Karlskoga area in Örebro County.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e538ac81908c5d7556513c2bc3 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e490472c8190b4ecc935bf03d01e completed March 27, 2026, 1:59 a.m.
NEDg Description generation batch_69c5e6347c108190bfdbad7c18880a37 completed March 27, 2026, 2:06 a.m.
NED2 Entity disambiguation (via description) batch_69c5e6bb552c8190a092495b5ecb5b57 completed March 27, 2026, 2:08 a.m.
Created at: March 22, 2026, 4:29 p.m.