Triple

T12866566
Position Surface form Disambiguated ID Type / Status
Subject Grimsel area E307734 entity
Predicate contains P35 FINISHED
Object Gelmersee E1001578 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: Gelmersee | Statement: [Grimsel area, contains, Gelmersee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gelmersee
Context triple: [Grimsel area, contains, Gelmersee]
  • A. Gelmersee chosen
    Gelmersee is a high-altitude reservoir and scenic mountain lake in the Bernese Oberland region of Switzerland, popular for hiking and its steep funicular access.
  • B. Alpnachersee
    Alpnachersee is a small alpine lake in central Switzerland that forms a narrow southwestern arm of Lake Lucerne near the town of Alpnach.
  • C. Seealpsee
    Seealpsee is a picturesque alpine lake in the Swiss canton of Appenzell, renowned for its scenic mountain setting and popular hiking opportunities.
  • D. Totensee (Grimsel)
    Totensee (Grimsel) is a small alpine lake located near the Grimsel Pass in the Bernese Alps of Switzerland.
  • E. Grabensee
    Grabensee is a small lake in the Austrian state of Salzburg, known for its natural surroundings and recreational 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708e0b788190b72a3057e271c227 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb092b88190b159f1d79156cf86 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.