Triple

T21035607
Position Surface form Disambiguated ID Type / Status
Subject Öhningen E518180 entity
Predicate hasLakeShore P1025 FINISHED
Object Lake Constance 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 Constance | Statement: [Öhningen, hasLakeShore, Lake Constance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Constance
Context triple: [Öhningen, hasLakeShore, Lake Constance]
  • A. 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.
  • B. 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.
  • C. Lake Staffelsee
    Lake Staffelsee is a picturesque lake in Upper Bavaria, Germany, known for its islands, recreational opportunities, and scenic Alpine surroundings.
  • D. 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.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc858d808190a8489aac801a4f51 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 2:02 p.m.