Triple

T4841242
Position Surface form Disambiguated ID Type / Status
Subject Gulf Coast regions E108184 entity
Predicate majorCity P316 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: [Gulf Coast regions, majorCity, Veracruz (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veracruz (city)
Context triple: [Gulf Coast regions, majorCity, 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. Xalapa
    Xalapa is a city in eastern Mexico known as the capital and cultural center of the state of Veracruz.
  • D. Irapuato
    Irapuato is a Mexican professional football club based in the city of Irapuato, Guanajuato, known for its passionate fan base and history in the country’s lower divisions.
  • E. Villahermosa
    Villahermosa is the capital and largest city of the Mexican state of Tabasco, known as a regional hub for oil, commerce, and culture in southeastern Mexico.
  • 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cfd9f3c8190b2b4edb05e9a5d33 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67d449188190a2f02fa30aee4891 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:25 p.m.