Triple

T9080125
Position Surface form Disambiguated ID Type / Status
Subject Río Elota E217595 entity
Predicate hasSpanishName P12773 FINISHED
Object Río Elota E217595 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 Elota | Statement: [Río Elota, hasSpanishName, Río Elota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Elota
Context triple: [Río Elota, hasSpanishName, Río Elota]
  • A. Río Elota chosen
    Río Elota is a river in the Mexican state of Sinaloa that flows through agricultural regions before emptying into the Pacific coastal area.
  • B. Acaponeta River
    The Acaponeta River is a river in western Mexico that flows through the state of Nayarit before emptying into the Pacific Ocean.
  • C. Río Nogales
    Río Nogales is a river in the Mexican state of Veracruz that flows through and gives its name to the municipality of Nogales.
  • D. Río Nazas
    Río Nazas is a major river in northern Mexico that flows through the arid Mesa del Norte region, historically vital for irrigation and regional agriculture.
  • E. Sabinal River
    The Sabinal River is a scenic spring-fed river in south-central Texas known for flowing through the Texas Hill Country and supporting recreation and wildlife habitats.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9607942c8190a21620892ce3cbe5 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69d04781c4d08190b91d02fa43fa57e0 completed April 3, 2026, 11:04 p.m.
Created at: March 30, 2026, 7:13 p.m.