Triple

T19481195
Position Surface form Disambiguated ID Type / Status
Subject Interlaken Ost railway station E487387 entity
Predicate connectsTo P845 FINISHED
Object Meiringen E312759 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: Meiringen | Statement: [Interlaken Ost railway station, connectsTo, Meiringen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meiringen
Context triple: [Interlaken Ost railway station, connectsTo, Meiringen]
  • A. Meiringen chosen
    Meiringen is a Swiss alpine town in the Bernese Oberland, known for its dramatic mountain scenery, Reichenbach Falls, and association with Sherlock Holmes.
  • B. Orscheid
    Orscheid is a small subdistrict within the Aegidienberg area of Bad Honnef in North Rhine-Westphalia, Germany.
  • C. Gimmelwald
    Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
  • D. Koppigen
    Koppigen is a municipality in the canton of Bern in Switzerland, situated in the Emmental region.
  • E. Kiental
    Kiental is a picturesque alpine valley and village in the Bernese Oberland region of Switzerland, known for its dramatic mountain scenery and hiking opportunities.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e634393b8081909f5e4c38b2f1a9b7 completed April 20, 2026, 2:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e6d0b8c8190b0a491308eeab367 completed May 15, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:39 p.m.