Triple

T20114760
Position Surface form Disambiguated ID Type / Status
Subject Río Nogales E490427 entity
Predicate hasSpanishName P12773 FINISHED
Object Río Nogales NE NERFINISHED

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 Nogales | Statement: [Río Nogales, hasSpanishName, Río Nogales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Nogales
Context triple: [Río Nogales, hasSpanishName, Río Nogales]
  • A. Río Nogales chosen
    Río Nogales is a river in the Mexican state of Veracruz that flows through and gives its name to the municipality of Nogales.
  • B. Río Sonora
    Río Sonora is a river in northwestern Mexico that flows through the state of Sonora before emptying into the Gulf of California.
  • C. 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.
  • D. Río Elota
    Río Elota is a river in the Mexican state of Sinaloa that flows through agricultural regions before emptying into the Pacific coastal area.
  • E. Acaponeta River
    The Acaponeta River is a river in western Mexico that flows through the state of Nayarit before emptying into the Pacific Ocean.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666e3f2288190840d1eb431ac9a1b completed April 20, 2026, 5:48 p.m.
Created at: April 11, 2026, 11:29 p.m.