Triple

T7001756
Position Surface form Disambiguated ID Type / Status
Subject Lake Lucerne E162352 entity
Predicate hasBay P35 FINISHED
Object Bay of Lucerne E162352 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: Bay of Lucerne | Statement: [Lake Lucerne, hasBay, Bay of Lucerne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bay of Lucerne
Context triple: [Lake Lucerne, hasBay, Bay of Lucerne]
  • A. Lake Lucerne chosen
    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.
  • B. 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.
  • C. Immensee
    Immensee is a picturesque lakeside village in the Swiss canton of Schwyz, known for its scenic setting on the shores of Lake Zug.
  • D. 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.
  • E. Lake Sarnen
    Lake Sarnen is a scenic alpine lake in the canton of Obwalden in central Switzerland, known for its clear waters and surrounding mountain 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc0f8830819091f4356296234713 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad743c2c819081d7b8cda5720ba3 completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:33 p.m.