Triple

T14577588
Position Surface form Disambiguated ID Type / Status
Subject Lake Baldegg E342095 entity
Predicate nearCity P350 FINISHED
Object Hochdorf E1107759 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: Hochdorf | Statement: [Lake Baldegg, nearCity, Hochdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hochdorf
Context triple: [Lake Baldegg, nearCity, Hochdorf]
  • A. Hochdorf chosen
    Hochdorf is a municipality in the canton of Lucerne in central Switzerland, known as a regional center in the Seetal valley.
  • B. Hägendorf
    Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
  • C. Oberhöchstadt
    Oberhöchstadt is a district of the town of Kronberg im Taunus in Hesse, Germany, known for its residential character within the Taunus region.
  • D. Burkhardtsdorf
    Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
  • E. Reichertshofen
    Reichertshofen is a market town and municipality in Upper Bavaria, Germany, known for its location near the confluence of the Paar and Ilm rivers and its proximity to the city of Ingolstadt.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f5ec448190b2ef887fdf7b633e completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda91437e08190a41683f1777a8507 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:24 a.m.