Triple

T17827679
Position Surface form Disambiguated ID Type / Status
Subject La Plata Peak E445161 entity
Predicate namedAfter P63 FINISHED
Object La Plata 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: La Plata River | Statement: [La Plata Peak, namedAfter, La Plata River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Plata River
Context triple: [La Plata Peak, namedAfter, La Plata River]
  • A. La Plata River
    La Plata River is a watercourse known for flowing through regions inhabited by the prized game fish dorado in South America.
  • B. La Plata River chosen
    The La Plata River is a tributary of the San Juan River that flows through parts of Colorado and New Mexico in the southwestern United States.
  • C. La Plata River
    La Plata River is a major river in Puerto Rico that flows through several municipalities, including Bayamón, before emptying into the Atlantic Ocean.
  • D. San Lorenzo River
    The San Lorenzo River is a coastal river in central California that flows through the city of Santa Cruz into the Monterey Bay.
  • E. La Matanza River
    La Matanza River is a heavily polluted waterway in the Buenos Aires metropolitan area of Argentina, known for flowing through densely populated and industrial zones.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48915d0fc819080ab03feb2465834 completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.