Triple

T10819449
Position Surface form Disambiguated ID Type / Status
Subject Río Consulado E255324 entity
Predicate hasName P744 FINISHED
Object Río Consulado E255324 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 Consulado | Statement: [Río Consulado, hasName, Río Consulado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Río Consulado
Context triple: [Río Consulado, hasName, Río Consulado]
  • A. Río Consulado chosen
    Río Consulado is an urban river in Mexico City that runs through boroughs such as Azcapotzalco and has been heavily modified and canalized as part of the city’s drainage system.
  • B. Río de los Remedios
    Río de los Remedios is a Metrobús station in Mexico City that serves as the northern terminus of Line 5 in the city’s bus rapid transit system.
  • C. Congost River
    The Congost River is a watercourse in Catalonia, Spain, that flows through the Vallès Oriental comarca and forms part of the Besòs river basin.
  • D. San Lorenzo River
    The San Lorenzo River is a coastal river in central California that flows through the city of Santa Cruz into the Monterey Bay.
  • E. Río San Lorenzo
    Río San Lorenzo is a river in northwestern Mexico that flows through arid landscapes before emptying into the Gulf of California.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734492be88190874ea0ba4d0fa643 completed April 9, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f75462fe9081908b939a1c6bdba6b9 completed May 3, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:18 p.m.