Triple

T16894297
Position Surface form Disambiguated ID Type / Status
Subject Interlaken-Oberhasli administrative district E424257 entity
Predicate contains P35 FINISHED
Object Wilderswil E487670 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: Wilderswil | Statement: [Interlaken-Oberhasli administrative district, contains, Wilderswil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilderswil
Context triple: [Interlaken-Oberhasli administrative district, contains, Wilderswil]
  • A. Wilderswil chosen
    Wilderswil is a picturesque Swiss village in the Bernese Oberland, known as a gateway to the Jungfrau region and a base for hiking and mountain excursions.
  • B. Dallenwil
    Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
  • C. Flaxweiler
    Flaxweiler is a small rural commune in eastern Luxembourg known for its agricultural landscape and proximity to the Moselle wine region.
  • D. Geroldswil
    Geroldswil is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
  • E. Nideggen
    Nideggen is a historic town in North Rhine-Westphalia, Germany, known for its medieval castle and scenic location in the Eifel region.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d6bfc88190b6b47b89c1135871 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fb6aff481908cb3d03b229ebf11 completed May 11, 2026, 4:48 a.m.
Created at: April 10, 2026, 5:29 a.m.