Triple

T6924251
Position Surface form Disambiguated ID Type / Status
Subject Mahoning River E160264 entity
Predicate mouth P407 FINISHED
Object Beaver River E235743 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: Beaver River | Statement: [Mahoning River, mouth, Beaver River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaver River
Context triple: [Mahoning River, mouth, Beaver River]
  • A. Beaver River chosen
    Beaver River is a waterway in western Pennsylvania that flows through Beaver County and ultimately joins the Ohio River.
  • B. Beaver River
    Beaver River is a tributary waterway in Utah that flows through Beaver County before joining the Sevier River.
  • C. Beaver River
    Beaver River is a significant waterway in the Oklahoma Panhandle that forms part of the upper course of the North Canadian River.
  • D. Salmon River
    The Salmon River is a major free-flowing river in central Idaho known for its deep canyons, whitewater rafting, and role as a key tributary of the Snake River.
  • E. Salmon River
    The Salmon River is a freshwater river in eastern Ontario, Canada, known for flowing through rural landscapes and supporting local recreation and wildlife habitats.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fea8d08190b6099a24fbac7de5 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69f1658e03a8819098ea2ac2f818a61a completed April 29, 2026, 1:57 a.m.
Created at: March 27, 2026, 2:26 p.m.