Triple

T20395544
Position Surface form Disambiguated ID Type / Status
Subject Schwaz E500192 entity
Predicate locatedOn P40 FINISHED
Object Inn River 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: Inn River | Statement: [Schwaz, locatedOn, Inn River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inn River
Context triple: [Schwaz, locatedOn, Inn River]
  • A. Inn River chosen
    The Inn River is a major Alpine river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
  • B. Idenburg River
    The Idenburg River is a significant tributary in the river system of New Guinea, contributing to the flow and drainage basin of the Mamberamo River.
  • C. Sieg River
    The Sieg River is a tributary of the Rhine in western Germany, flowing through North Rhine-Westphalia and Rhineland-Palatinate.
  • D. Örtze River
    The Örtze River is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath before joining the Aller.
  • E. Hase River
    The Hase River is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia before joining the Ems River.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67912d7948190ac2fda8ce95e5c70 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.