Triple

T2573133
Position Surface form Disambiguated ID Type / Status
Subject Tabasco E57708 entity
Predicate hasMajorCity P316 FINISHED
Object Villahermosa E233929 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: Villahermosa | Statement: [Tabasco, hasMajorCity, Villahermosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villahermosa
Context triple: [Tabasco, hasMajorCity, Villahermosa]
  • A. Villahermosa chosen
    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.
  • B. Veracruz City
    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.
  • C. Tuxtla Gutiérrez
    Tuxtla Gutiérrez is the capital and largest city of the Mexican state of Chiapas, known as a regional political, economic, and transportation hub.
  • D. 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.
  • E. Xalapa
    Xalapa is a city in eastern Mexico known as the capital and cultural center of the state of Veracruz.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3853c848190970e8a2da16d726d completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90721edc8190a80decc7195f80de completed March 10, 2026, 3:30 a.m.
Created at: March 6, 2026, 9:48 p.m.