Triple

T7423856
Position Surface form Disambiguated ID Type / Status
Subject Mies E171317 entity
Predicate hasShoreLengthOn P76887 FINISHED
Object Lake Geneva E8337 NE FINISHED

How this triple was built (3 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 Geneva | Statement: [Mies, hasShoreLengthOn, Lake Geneva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Geneva
Context triple: [Mies, hasShoreLengthOn, Lake Geneva]
  • A. Lake Geneva chosen
    Lake Geneva is a large crescent-shaped lake on the north side of the Alps, shared by Switzerland and France and renowned for its scenic beauty and surrounding cities like Geneva and Lausanne.
  • B. Geneva Lake
    Geneva Lake is a popular glacial lake in southeastern Wisconsin known for its resort communities, recreational boating, and scenic shoreline.
  • C. Lake of Gruyère
    Lake of Gruyère is an artificial reservoir in the Swiss canton of Fribourg, known for its scenic setting amid pre-Alpine landscapes and the nearby medieval town of Gruyères.
  • D. Lake Lucerne
    Lake Lucerne is a picturesque, fjord-like lake in central Switzerland, renowned for its dramatic mountain scenery, historic sites, and role as a major tourist destination.
  • E. Lake Neuchâtel
    Lake Neuchâtel is the largest lake entirely within Switzerland, located in the French-speaking western part of the country and known for its scenic shores and surrounding vineyards.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasShoreLengthOn
Context triple: [Mies, hasShoreLengthOn, Lake Geneva]
  • A. hasShoreOn
    Indicates that one geographic entity borders or is directly adjacent to the shore of another body of water.
  • B. hasShoreFeature
    Indicates that a shore or coastline possesses a specific physical or environmental feature.
  • C. hasPierLength
    Indicates that one entity (typically a pier or similar structure) has a specified length measurement.
  • D. shorelineLength
    Indicates the total measured extent of a land area’s boundary where it meets a body of water.
  • E. hasStructureOnShore
    Indicates that a structure is located on or directly adjacent to the shore of a body of water.
  • F. None of above. chosen

Provenance (5 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2eece588190905774e7151edcb8 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c845ecfe988190a981924f5ef49c83 completed March 28, 2026, 9:19 p.m.
PD Predicate disambiguation batch_69c6f03648d08190b862d07fef71210c completed March 27, 2026, 9:01 p.m.
PDg Predicate description generation batch_69c6f1ee5ab8819091082324f2dc3b8c completed March 27, 2026, 9:09 p.m.
Created at: March 27, 2026, 3:12 p.m.