Triple

T20206344
Position Surface form Disambiguated ID Type / Status
Subject Bodenseekreis E493361 entity
Predicate namedAfter P63 FINISHED
Object Bodensee 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: Bodensee | Statement: [Bodenseekreis, namedAfter, Bodensee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bodensee
Context triple: [Bodenseekreis, namedAfter, Bodensee]
  • A. Schönenbodensee
    Schönenbodensee is a small scenic mountain lake located near the village of Wildhaus in the Toggenburg region of the Swiss canton of St. Gallen.
  • B. Lake Constance chosen
    Lake Constance is a large freshwater lake on the Rhine at the northern foot of the Alps, bordering Germany, Austria, and Switzerland and serving as a major regional hub for tourism, transport, and natural conservation.
  • C. Oberer See
    Oberer See is a small lake located in the town of Böblingen in the German state of Baden-Württemberg, used primarily for recreation and local leisure activities.
  • D. Jungfernsee
    Jungfernsee is a scenic lake on the outskirts of Potsdam and Berlin, known for its historic villas, palaces, and location along the former inner German border.
  • E. Tüttensee
    Tüttensee is a small lake in the Chiemgau region of Bavaria, Germany, known for its scenic setting and local recreational use.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d922ebc8190ae012da8ceba74dd completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.