Triple

T9095075
Position Surface form Disambiguated ID Type / Status
Subject Río Sinaloa E217996 entity
Predicate hasNameInLanguage P15 FINISHED
Object es:Río Sinaloa E217996 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: es:Río Sinaloa | Statement: [Río Sinaloa, hasNameInLanguage, es:Río Sinaloa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: es:Río Sinaloa
Context triple: [Río Sinaloa, hasNameInLanguage, es:Río Sinaloa]
  • A. Río Sinaloa chosen
    Río Sinaloa is a significant river in the Mexican state of Sinaloa that supports regional agriculture, ecosystems, and nearby communities.
  • B. Río Salamanca
    Río Salamanca is a river in Chile that flows through the Coquimbo Region, contributing to the hydrology and agriculture of the Choapa Valley.
  • C. Lerma River
    The Lerma River is one of central Mexico’s most important rivers, serving as a major water source for agriculture, industry, and urban areas across several states.
  • D. Odiel River
    The Odiel River is a major river in southwestern Spain that flows through the province of Huelva before emptying into the Atlantic Ocean.
  • E. Guadalmedina River
    The Guadalmedina River is a short Mediterranean river in southern Spain that flows through the city of Málaga, historically shaping its urban layout and acting as a natural divider between districts.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b4a2e0819092f4eae8b1d21f33 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0180f70b88190a2d3dc49f32f0c2e completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:14 p.m.