Triple

T12585714
Position Surface form Disambiguated ID Type / Status
Subject Kander E300453 entity
Predicate flowsThrough P225 FINISHED
Object Kandertal E768815 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: Kandertal | Statement: [Kander, flowsThrough, Kandertal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kandertal
Context triple: [Kander, flowsThrough, Kandertal]
  • A. Kandertal chosen
    Kandertal is a scenic valley in southwestern Germany’s Black Forest region, known for its picturesque landscapes and the town of Kandern situated within it.
  • B. Okertal
    Okertal is a scenic valley in the Harz Mountains of Germany, known for its rugged rock formations, forests, and the Oker River running through it.
  • C. Klausen
    Klausen is a small historic town in South Tyrol, northern Italy, known for its picturesque Alpine setting and medieval charm.
  • D. Gadertal
    Gadertal is a valley in the Dolomites of northern Italy, known for its Ladin culture, alpine landscapes, and popular ski resorts.
  • E. Stillach Valley
    Stillach Valley is a scenic alpine valley near Oberstdorf in Germany, known for its picturesque landscapes, hiking trails, and outdoor recreation 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bbe72c8190aa11090bb6b480c9 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ebcfca8819083c26a3d5f94ccdf completed May 2, 2026, 8:29 p.m.
Created at: April 9, 2026, 5:04 p.m.