Triple

T17407296
Position Surface form Disambiguated ID Type / Status
Subject Bad Liebenzell E423250 entity
Predicate locatedOnRiver P165 FINISHED
Object Nagold 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: Nagold River | Statement: [Bad Liebenzell, locatedOnRiver, Nagold River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagold River
Context triple: [Bad Liebenzell, locatedOnRiver, Nagold River]
  • A. Nagold River chosen
    The Nagold River is a scenic river in southwestern Germany that flows through the Black Forest region and several towns before joining the Enz River.
  • B. Hon River
    The Hon River is a river in Hiroshima, Japan, that flows through the city’s center and past landmarks such as the Hiroshima Peace Memorial Park.
  • C. Bighorn River
    The Bighorn River is a major tributary of the Yellowstone River in Wyoming and Montana, renowned for its deep canyons, tailwater trout fisheries, and scenic recreation areas.
  • D. Otskhe River
    The Otskhe River is a watercourse in southern Georgia that flows through the spa town of Abastumani in the Samtskhe-Javakheti region.
  • E. Swift River
    Swift River is a scenic mountain river in New Hampshire’s White Mountains, popular for its clear waters, swimming holes, and roadside views along the Kancamagus Highway.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b081ae08190b144e333a3a74b02 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.