Triple

T16218754
Position Surface form Disambiguated ID Type / Status
Subject Connected by highway to Veracruz City E393661 entity
Predicate connectsCity P4245 FINISHED
Object Veracruz City E265217 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: Veracruz City | Statement: [Connected by highway to Veracruz City, connectsCity, Veracruz City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veracruz City
Context triple: [Connected by highway to Veracruz City, connectsCity, Veracruz City]
  • A. Veracruz City chosen
    Veracruz City is a historic port city on the Gulf of Mexico known as one of Mexico’s oldest and most important maritime and commercial hubs.
  • B. Ciudad Victoria
    Ciudad Victoria is a mid-sized city in northeastern Mexico that serves as the political and administrative center of the state of Tamaulipas.
  • C. Tampico Madero
    Tampico Madero is a Mexican professional football club traditionally based in the port city of Tampico, Tamaulipas.
  • D. Monterrey
    Monterrey is a major industrial and economic hub in northeastern Mexico, known for its modern skyline, strong manufacturing base, and role as a center of business and education.
  • E. Monterrey
    Monterrey is a municipality in the Casanare Department of eastern Colombia, known for its cattle ranching, oil-related activities, and llanero (plains) culture.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227f95de081908e1abe32d281dbe7 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f87bd588190afb91d21eebd00e3 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:03 a.m.