Triple

T12866563
Position Surface form Disambiguated ID Type / Status
Subject Grimsel area E307734 entity
Predicate contains P35 FINISHED
Object Grimselsee E445407 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: Grimselsee | Statement: [Grimsel area, contains, Grimselsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grimselsee
Context triple: [Grimsel area, contains, Grimselsee]
  • A. Grimselsee chosen
    Grimselsee is a high-altitude reservoir lake in the Swiss Alps, known for its striking turquoise waters and surrounding granite peaks.
  • B. Diemelsee
    Diemelsee is a reservoir and popular recreational lake in Hesse and North Rhine-Westphalia, Germany, known for water sports, hiking, and its scenic surroundings in the Diemel river valley.
  • C. Illasbergsee
    Illasbergsee is a small lake in the Ostallgäu region of Bavaria, Germany, known for its scenic Alpine surroundings and recreational opportunities.
  • D. Pfäffikersee
    Pfäffikersee is a small lake in the Swiss canton of Zürich known for its scenic surroundings, nature reserves, and recreational opportunities such as hiking and birdwatching.
  • E. Lake Heiligensee
    Lake Heiligensee is a small freshwater lake in the Heiligensee district of Berlin, Germany, known for its recreational use and scenic natural surroundings.
  • 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_69f6eaca8958819086df70db2ba497a5 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 5:38 p.m.