Triple

T19449109
Position Surface form Disambiguated ID Type / Status
Subject Hochsölden E486564 entity
Predicate partOf P40 FINISHED
Object municipality of Sölden NE NERFINISHED

How this triple was built (2 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: municipality of Sölden | Statement: [Hochsölden, partOf, municipality of Sölden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: municipality of Sölden
Context triple: [Hochsölden, partOf, municipality of Sölden]
  • A. Sölden chosen
    Sölden is a renowned Austrian ski resort town in the Ötztal Valley, famous for its extensive alpine skiing, glacier slopes, and role as a regular FIS Alpine Ski World Cup venue.
  • B. Sölden (Breisgau)
    Sölden (Breisgau) is a small municipality in southwestern Germany located in the Breisgau region near Freiburg im Breisgau.
  • C. Seefeld in Tirol
    Seefeld in Tirol is an Austrian alpine resort town renowned for its winter sports facilities and role as a host location for Olympic Nordic skiing events.
  • D. Saalbach-Hinterglemm
    Saalbach-Hinterglemm is a well-known Austrian alpine resort village famed for its extensive skiing, snowboarding, and mountain biking opportunities.
  • E. St. Anton am Arlberg
    St. Anton am Arlberg is a renowned Austrian Alpine village and ski resort famous for its extensive slopes and vibrant après-ski scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338be5a48190973d9ecae853900c completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.