Triple

T5376933
Position Surface form Disambiguated ID Type / Status
Subject Trelew E112982 entity
Predicate hasRiver P165 FINISHED
Object Chubut River E19729 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: Chubut River | Statement: [Trelew, hasRiver, Chubut River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chubut River
Context triple: [Trelew, hasRiver, Chubut River]
  • A. Chubut River chosen
    The Chubut River is a significant waterway in southern Argentina that flows across the arid Patagonian plateau to the Atlantic Ocean, supporting agriculture and settlements along its course.
  • B. Jáchal River
    The Jáchal River is an important river in Argentina’s San Juan Province, known for sustaining agriculture and communities in this arid Andean region.
  • C. Coronel River
    Coronel River is a lesser-known waterway in the Philippines that feeds into the larger Pampanga River system in Central Luzon.
  • D. Aysén River
    The Aysén River is a major waterway in Chilean Patagonia, known for its scenic fjords, glacial-fed waters, and role as a key access route to the remote Aysén Region.
  • E. Río Negro
    Río Negro is a major river in Argentine Patagonia known for irrigating fertile valleys and supporting agriculture and settlements across the region.
  • 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_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86b08bf881909fa2e42c977d807a completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64b8e4dd88190be82d6e5ad9f2e7a completed March 27, 2026, 9:19 a.m.
Created at: March 20, 2026, 2:03 p.m.