Triple

T458708
Position Surface form Disambiguated ID Type / Status
Subject Mexico Time Zones E7287 entity
Predicate includesRegion P285 FINISHED
Object Tijuana E10019 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: Tijuana | Statement: [Mexico Time Zones, includesRegion, Tijuana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tijuana
Context triple: [Mexico Time Zones, includesRegion, Tijuana]
  • A. Tijuana chosen
    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.
  • B. San Diego–Tijuana
    San Diego–Tijuana is a major transborder metropolitan region spanning southern California and northwestern Mexico, known for its extensive economic, cultural, and social integration across the U.S.–Mexico border.
  • C. Ciudad Juárez
    Ciudad Juárez is a major industrial and border city in northern Mexico, located across the Rio Grande from El Paso, Texas.
  • D. Ensenada
    Ensenada is a coastal city in northwestern Baja California, Mexico, known for its busy port, tourism, and nearby wine-producing valleys.
  • E. Colonia Federal, Tijuana
    Colonia Federal is a neighborhood in Tijuana, Mexico, located directly along the U.S.–Mexico border opposite San Ysidro, 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efa4a6208190a8243a0e14f84f52 completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a48a7675a08190985e76c3d3bbd495 completed March 1, 2026, 6:50 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.