Triple

T8712999
Position Surface form Disambiguated ID Type / Status
Subject Eibsee-Seilbahn E206824 entity
Predicate terminusFrom P47294 FINISHED
Object Eibsee E206827 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: Eibsee | Statement: [Eibsee-Seilbahn, terminusFrom, Eibsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eibsee
Context triple: [Eibsee-Seilbahn, terminusFrom, Eibsee]
  • A. Eibsee chosen
    Eibsee is a picturesque alpine lake in Bavaria, Germany, renowned for its clear turquoise waters and dramatic setting at the foot of the Zugspitze.
  • B. Küssnachtersee
    Küssnachtersee is a narrow northern arm of Lake Lucerne in central Switzerland, bordered by picturesque lakeside villages and surrounded by gentle pre-Alpine hills.
  • C. Quenzsee
    Quenzsee is a lake in the German state of Brandenburg, located near the city of Brandenburg an der Havel and forming part of the region’s interconnected waterway system.
  • D. Hintersee
    Hintersee is a small Austrian municipality in the state of Salzburg, known for its scenic alpine landscapes and nearby mountain lake.
  • E. Millstätter See
    Millstätter See is a large alpine lake in the Austrian state of Carinthia, known for its clear waters, scenic mountain surroundings, and popular recreational opportunities.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd522a88190a32facd86206af66 completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfd070ca0c819092b98a7aa079c33c completed April 3, 2026, 2:36 p.m.
Created at: March 30, 2026, 6:35 p.m.