Triple

T17162173
Position Surface form Disambiguated ID Type / Status
Subject Gernsbach E416507 entity
Predicate locatedOn P40 FINISHED
Object Murg 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: Murg River | Statement: [Gernsbach, locatedOn, Murg River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murg River
Context triple: [Gernsbach, locatedOn, Murg River]
  • A. River Murg chosen
    The River Murg is a river in southwestern Germany that flows through the Black Forest region before joining the Rhine near the town of Rastatt.
  • B. Arpath River
    Arpath River is a mountain river in the Anantnag district of Jammu and Kashmir, India, known for its cold, clear waters fed by Himalayan glaciers and springs.
  • C. Lorze River
    The Lorze River is a Swiss river in the canton of Zug, known for flowing through the Ägeri Valley and the Höllgrotten caves before joining the Reuss.
  • D. Trient River
    The Trient River is a mountain river in the Swiss Alps that flows through the Trient Valley before joining the Rhône.
  • E. Begna River
    The Begna River is a significant river in southeastern Norway that flows through several valleys and towns, including the area around the town of Hønefoss.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f91258648190a40396067ba5ecd3 completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 5:37 a.m.