Triple

T8169195
Position Surface form Disambiguated ID Type / Status
Subject Bermejo River E190771 entity
Predicate partOf P40 FINISHED
Object La Plata river system E425386 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: La Plata river system | Statement: [Bermejo River, partOf, La Plata river system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Plata river system
Context triple: [Bermejo River, partOf, La Plata river system]
  • A. La Plata River chosen
    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
    La Plata River is a major river in Puerto Rico that flows through several municipalities, including Bayamón, before emptying into the Atlantic Ocean.
  • C. Pateros River
    Pateros River is a small river in Metro Manila, Philippines, that flows through the municipality of Pateros and nearby areas before joining the Pasig River.
  • 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. Valle Nacional River
    The Valle Nacional River is a river in the Mexican state of Oaxaca that forms part of the Papaloapan basin and drains the mountainous, forested regions of the Sierra Madre de Oaxaca.
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb466abfe48190b4eb2f23b1e28668 completed March 31, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf542c388190b99fe4f0c6b7b946 completed April 1, 2026, 6:46 a.m.
Created at: March 30, 2026, 5:39 p.m.