Triple

T10562938
Position Surface form Disambiguated ID Type / Status
Subject Schroon Lake E249275 entity
Predicate outflow P967 FINISHED
Object Schroon River E216433 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: Schroon River | Statement: [Schroon Lake, outflow, Schroon River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schroon River
Context triple: [Schroon Lake, outflow, Schroon River]
  • A. Schroon River chosen
    Schroon River is a scenic waterway in northeastern New York State known for its recreational opportunities such as fishing, paddling, and riverside camping.
  • B. Fuhse River
    The Fuhse River is a tributary waterway in northern Germany that flows through Lower Saxony before joining the Aller River.
  • C. Rednitz River
    The Rednitz River is a river in Franconia, Germany, that flows through cities such as Fürth before joining the Pegnitz to form the Regnitz.
  • D. Salamonie River
    The Salamonie River is a river in northeastern Indiana that flows through primarily rural and agricultural landscapes before joining the Wabash River.
  • E. White Elster River
    The White Elster River is a central waterway in central Europe that flows through eastern Germany, including the city of Leipzig, before joining the Saale River.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d527212dd081908629d91ce08f96a0 completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e6e28a481909a90059e6ce51f6d completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:36 p.m.