Triple

T7295318
Position Surface form Disambiguated ID Type / Status
Subject Nadelhorn E164505 entity
Predicate nearestMajorTown P3883 FINISHED
Object Täsch E614653 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: Täsch | Statement: [Nadelhorn, nearestMajorTown, Täsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Täsch
Context triple: [Nadelhorn, nearestMajorTown, Täsch]
  • A. Täsch chosen
    Täsch is a small Swiss alpine village in the canton of Valais, serving as a gateway to the car-free resort of Zermatt.
  • B. Fiesch
    Fiesch is a Swiss alpine village in the canton of Valais, known as a gateway to the Aletsch Glacier region and a base for skiing, hiking, and other mountain activities.
  • C. Goms
    Goms is a high alpine valley and municipality region in the upper Valais of Switzerland, known for its traditional villages, hiking and cross-country skiing, and proximity to major mountain passes like the Furka Pass.
  • D. Brunico
    Brunico is a historic town and popular tourist center in northern Italy’s Alps, known for its medieval old town, castle, and proximity to the Dolomites.
  • E. Luzech
    Luzech is a commune in southwestern France known for its scenic location on a tight meander of the Lot River and its surrounding vineyards and historic sites.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb8d0c6c8190b32cd08b9a5d96cc completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e543c22c8190acf8dcffd9c59520 completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3 p.m.