Triple

T1771312
Position Surface form Disambiguated ID Type / Status
Subject Sierra de Juárez E38879 entity
Predicate locatedNear P294 FINISHED
Object Ensenada E52353 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: Ensenada | Statement: [Sierra de Juárez, locatedNear, Ensenada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ensenada
Context triple: [Sierra de Juárez, locatedNear, Ensenada]
  • A. Ensenada chosen
    Ensenada is a coastal city in northwestern Baja California, Mexico, known for its busy port, tourism, and nearby wine-producing valleys.
  • B. Tijuana
    Tijuana is a large, bustling border city in northwestern Mexico known for its cultural vibrancy, manufacturing industry, and close economic and social ties with the neighboring U.S. city of San Diego.
  • C. Guaymas
    Guaymas is a coastal city and major seaport on the Gulf of California in the Mexican state of Sonora.
  • D. San Pedro
    San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
  • E. San Pedro
    San Pedro is a Chilean commune and town located within the Santiago Metropolitan Region, known for its rural character and agricultural activities.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa648fe908819098fd27b74b17fabb completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3bef0648190a7fd6ae38b41038e completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:31 p.m.