Triple

T19491816
Position Surface form Disambiguated ID Type / Status
Subject Interlaken West railway station E487669 entity
Predicate locatedNear P294 FINISHED
Object Lake Thun E95249 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: Lake Thun | Statement: [Interlaken West railway station, locatedNear, Lake Thun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Thun
Context triple: [Interlaken West railway station, locatedNear, Lake Thun]
  • A. Lake Thun chosen
    Lake Thun is a large alpine lake in the Bernese Oberland region of Switzerland, renowned for its scenic mountain backdrop, historic lakeside towns, and popular boating and water sports.
  • B. Lake Sarnen
    Lake Sarnen is a scenic alpine lake in the canton of Obwalden in central Switzerland, known for its clear waters and surrounding mountain landscapes.
  • C. Lake Brienz
    Lake Brienz is a deep, turquoise-colored alpine lake in central Switzerland, renowned for its dramatic mountain scenery and crystal-clear waters.
  • D. Oeschinen Lake
    Oeschinen Lake is a scenic alpine lake in the Bernese Oberland region of Switzerland, renowned for its turquoise waters, dramatic mountain backdrop, and outdoor recreation opportunities.
  • E. Walensee
    Walensee is a picturesque alpine lake in eastern Switzerland, known for its steep surrounding mountains and clear turquoise waters.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6348e01b88190a513d0e256161fcd completed April 20, 2026, 2:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a091380428c8190b0535d3100e3c9a6 completed May 17, 2026, 1:01 a.m.
Created at: April 10, 2026, 1:39 p.m.