Triple

T2656981
Position Surface form Disambiguated ID Type / Status
Subject Universidad Autónoma de Baja California E54635 entity
Predicate hasCampusIn P4623 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: [Universidad Autónoma de Baja California, hasCampusIn, Ensenada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ensenada
Context triple: [Universidad Autónoma de Baja California, hasCampusIn, 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. La Paz, Baja California Sur
    La Paz, Baja California Sur is the capital city of the Mexican state of Baja California Sur, known for its coastal location on the Sea of Cortez and its role as a regional political, economic, and tourism center.
  • E. San Pedro
    San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd94ae2e881909399b3d58159aa29 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbb50cec8190aea067e486a5b092 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:53 p.m.