Triple

T20938008
Position Surface form Disambiguated ID Type / Status
Subject Gerzensee E515636 entity
Predicate hasLake P1025 FINISHED
Object Lake Gerzensee NE NERFINISHED

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 Gerzensee | Statement: [Gerzensee, hasLake, Lake Gerzensee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Gerzensee
Context triple: [Gerzensee, hasLake, Lake Gerzensee]
  • A. Gerzensee chosen
    Gerzensee is a small municipality in the canton of Bern, Switzerland, known for its scenic lake and rural alpine surroundings.
  • B. Walensee
    Walensee is a picturesque alpine lake in eastern Switzerland, known for its steep surrounding mountains and clear turquoise waters.
  • C. Vierwaldstättersee
    Vierwaldstättersee is a picturesque lake in central Switzerland, surrounded by mountains and historic towns, and is a major natural and tourist landmark of the region.
  • D. Lake Thun
    Lake Thun is a large alpine lake in the Bernese Oberland region of Switzerland, renowned for its scenic mountain backdrop, historic lakeside towns, and popular boating and water sports.
  • 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 (2 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f9534cd48190a86665fb1df6b077 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:50 p.m.