Triple

T10083466
Position Surface form Disambiguated ID Type / Status
Subject Rixensart E213960 entity
Predicate locatedOn P40 FINISHED
Object Lake Genval E308309 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: Lake Genval | Statement: [Rixensart, locatedOn, Lake Genval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Genval
Context triple: [Rixensart, locatedOn, Lake Genval]
  • A. Lake Joux
    Lake Joux is a large high-altitude lake in the Vallée de Joux of the Jura Mountains in western Switzerland, known for its scenic landscapes and popularity for ice skating in winter.
  • B. Lake Murten
    Lake Murten is a small glacial lake in western Switzerland, known for its scenic shores, mild climate, and location between the Jura Mountains and the Alps.
  • C. Bütgenbach Lake chosen
    Bütgenbach Lake is an artificial reservoir in eastern Belgium known for its recreational activities such as swimming, sailing, and hiking along its scenic shores.
  • D. Lac de Gaube
    Lac de Gaube is a scenic glacial lake in the French Pyrenees, renowned for its turquoise waters and dramatic mountain surroundings near the Vignemale massif.
  • E. Lac de Gravelle
    Lac de Gravelle is a small artificial lake in Paris’s Bois de Vincennes, known for its tranquil setting, walking paths, and role as a recreational green space for city residents.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04352d081908f676444cd2d2578 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b675f4b08190bd8285f210191b93 completed April 5, 2026, 7:22 p.m.
Created at: March 30, 2026, 9 p.m.