Triple

T13343778
Position Surface form Disambiguated ID Type / Status
Subject Lake Inkwil E317892 entity
Predicate locatedNear P294 FINISHED
Object Subingen E129421 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: Subingen | Statement: [Lake Inkwil, locatedNear, Subingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Subingen
Context triple: [Lake Inkwil, locatedNear, Subingen]
  • A. Subingen chosen
    Subingen is a Swiss municipality located in the canton of Solothurn, known for its residential character and proximity to regional transport routes.
  • B. Eschwege
    Eschwege is a small historic town in the German state of Hesse, known for its medieval architecture and location near the Werra River.
  • C. Vechigen
    Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
  • D. De Wieden
    De Wieden is a renowned wetland nature reserve in the Dutch province of Overijssel, known for its lakes, reed beds, and rich birdlife.
  • E. Eggersriet
    Eggersriet is a municipality in the canton of St. Gallen in northeastern Switzerland, situated in a hilly area overlooking Lake Constance.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8839b48190b164414b418e756c completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f417e4081908ab2025a313bfad1 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.