Triple

T12477078
Position Surface form Disambiguated ID Type / Status
Subject Embalse Río Tercero E298202 entity
Predicate watercourse P415 FINISHED
Object Río Tercero E1077904 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: Río Tercero | Statement: [Embalse Río Tercero, watercourse, Río Tercero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Tercero
Context triple: [Embalse Río Tercero, watercourse, Río Tercero]
  • A. Río Tercero chosen
    Río Tercero is a city in the Córdoba Province of Argentina, known for its industrial activity and proximity to major reservoirs and rivers.
  • B. Río Rocha
    Río Rocha is a river in central Bolivia that flows through the city of Cochabamba and plays a key role in the region’s drainage and environmental conditions.
  • C. Gualeguaychú River
    The Gualeguaychú River is a watercourse in Entre Ríos Province, Argentina, known for flowing past the city of Gualeguaychú and into the Uruguay River.
  • D. Ríos Rosas
    Ríos Rosas is a Madrid Metro station located in the Chamberí district, serving as part of the city's historic Line 1.
  • E. Rio Gallegos
    Río Gallegos is the capital city of Santa Cruz Province in southern Argentina, serving as a key Patagonian hub near the Atlantic coast and the border with Chile.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcc24e48190ae9c367a03f659f4 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd082fe64819088a270f18190b172 completed May 7, 2026, 5:48 p.m.
Created at: April 8, 2026, 9:56 p.m.