Triple

T14303117
Position Surface form Disambiguated ID Type / Status
Subject Geneva, Alabama E354619 entity
Predicate hasRiver P165 FINISHED
Object Pea 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: Pea River | Statement: [Geneva, Alabama, hasRiver, Pea River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pea River
Context triple: [Geneva, Alabama, hasRiver, Pea River]
  • A. Pea River chosen
    Pea River is a tributary of the Choctawhatchee River flowing through southeastern Alabama and the Florida Panhandle, known for its rural landscapes and recreational fishing.
  • B. Beckler River
    Beckler River is a mountain stream in Washington State that flows through the Cascade Range and contributes to the Skykomish River system.
  • C. Youngs River
    Youngs River is a coastal river in northwestern Oregon that flows into Youngs Bay near the mouth of the Columbia River.
  • D. Neches River
    The Neches River is a major waterway in eastern Texas that flows from near Tyler to the Gulf of Mexico, supporting regional ecosystems, industry, and recreation.
  • E. Las Piedras River
    Las Piedras River is a major tributary of the Madre de Dios River in southeastern Peru, known for its remote Amazonian rainforest, rich biodiversity, and role in regional transportation and ecotourism.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717fc2348190bb6ba3109bd2871f completed April 14, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:12 a.m.