Triple

T16973677
Position Surface form Disambiguated ID Type / Status
Subject Pizol E411751 entity
Predicate overlooks P1323 FINISHED
Object Walensee E982690 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: Walensee | Statement: [Pizol, overlooks, Walensee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walensee
Context triple: [Pizol, overlooks, Walensee]
  • A. Walensee chosen
    Walensee is a picturesque alpine lake in eastern Switzerland, known for its steep surrounding mountains and clear turquoise waters.
  • B. 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.
  • C. Walchensee
    Walchensee is a large alpine lake in Bavaria, Germany, renowned for its clear turquoise waters, scenic mountain surroundings, and use in hydroelectric power generation.
  • D. Alpnachersee
    Alpnachersee is a small alpine lake in central Switzerland that forms a narrow southwestern arm of Lake Lucerne near the town of Alpnach.
  • E. Gerzensee
    Gerzensee is a small municipality in the canton of Bern, Switzerland, known for its scenic lake and rural alpine surroundings.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0af06688190a77682aa297cd27e completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fb99b348190a6db655cd8aee799 completed May 11, 2026, 4:48 a.m.
Created at: April 10, 2026, 5:31 a.m.