Triple

T4377371
Position Surface form Disambiguated ID Type / Status
Subject Wildspitze E99038 entity
Predicate municipality P852 FINISHED
Object Sölden E112124 NE FINISHED

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: Sölden | Statement: [Wildspitze, municipality, Sölden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sölden
Context triple: [Wildspitze, municipality, 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. 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.
  • C. Igls
    Igls is an Austrian alpine village near Innsbruck known for its winter sports facilities and role in hosting Olympic events.
  • D. Ischgl
    Ischgl is a popular Austrian ski resort town in the Paznaun Valley, renowned for its extensive slopes and lively après-ski scene.
  • E. Oberstdorf
    Oberstdorf is a renowned alpine resort town in southern Germany known for skiing, ski jumping, and hiking amid dramatic mountain scenery.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3523ed220819090cef1a7933489d9 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51907688190ad964d341eb84529 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:18 p.m.