Triple

T12756821
Position Surface form Disambiguated ID Type / Status
Subject Jura lakes E304881 entity
Predicate hasPart P35 FINISHED
Object Lac de Neuchâtel E9289 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: Lac de Neuchâtel | Statement: [Jura lakes, hasPart, Lac de Neuchâtel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lac de Neuchâtel
Context triple: [Jura lakes, hasPart, Lac de Neuchâtel]
  • A. Lake Neuchâtel chosen
    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.
  • B. Étang de la Gruère
    Étang de la Gruère is a scenic peat bog lake and nature reserve in the Jura region of Switzerland, known for its tranquil forest setting and rich biodiversity.
  • C. Lake of Biel
    Lake of Biel is a scenic lake in western Switzerland’s Seeland region, known for its vineyards, islands, and role in the Jura water correction system.
  • D. Immensee
    Immensee is a picturesque lakeside village in the Swiss canton of Schwyz, known for its scenic setting on the shores of Lake Zug.
  • E. Lake Zurich
    Lake Zurich is a picturesque glacial lake in Switzerland, bordered by the city of Zurich and known for its recreational activities, scenic promenades, and surrounding alpine landscapes.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8b57b88190b29b8fdca415c81c completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8be7834819085bfce037c467004 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 5:27 p.m.