Triple

T4671706
Position Surface form Disambiguated ID Type / Status
Subject Gemmi Pass E102977 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Kandersteg E105048 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: Kandersteg | Statement: [Gemmi Pass, hasNearbySettlement, Kandersteg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kandersteg
Context triple: [Gemmi Pass, hasNearbySettlement, Kandersteg]
  • A. Kandersteg chosen
    Kandersteg is a Swiss mountain village and popular tourist resort known for its scenic alpine landscapes, hiking trails, and access to Lake Oeschinen.
  • B. Wengen
    Wengen is a car-free Swiss alpine village and popular ski and hiking resort located in the Bernese Oberland region.
  • C. Visp
    Visp is a small town in the canton of Valais in southwestern Switzerland, situated in the Rhône valley and known as a regional transport hub and gateway to nearby Alpine resorts.
  • D. Küssnacht am Rigi
    Küssnacht am Rigi is a picturesque Swiss lakeside town in the canton of Schwyz, known for its scenic setting between Lake Zug and Mount Rigi and its association with the William Tell legend.
  • E. Andermatt
    Andermatt is a Swiss Alpine village and ski resort in the canton of Uri, known as a major mountain transport hub and tourist destination.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63506090819083ff8271adc5ef75 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39c275a88190a65ceb1586257d1e completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:15 p.m.