Triple

T7655724
Position Surface form Disambiguated ID Type / Status
Subject San Juan River E173375 entity
Predicate hasTributary P415 FINISHED
Object La Plata River 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 | Statement: [San Juan River, hasTributary, La Plata River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Plata River
Context triple: [San Juan River, hasTributary, La Plata River]
  • 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. 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.
  • D. Río San Lorenzo
    Río San Lorenzo is a river in northwestern Mexico that flows through arid landscapes before emptying into the Gulf of California.
  • E. Marta River
    The Marta River is a watercourse in central Italy that drains Lake Bolsena and flows southwest toward the Tyrrhenian Sea.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7018ea3688190907c3ac7d25e3da6 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5674c408190bdea241134fba474 completed March 30, 2026, 10:12 p.m.
Created at: March 27, 2026, 3:59 p.m.