Triple

T3266155
Position Surface form Disambiguated ID Type / Status
Subject Chiapas E68532 entity
Predicate capital P234 FINISHED
Object Tuxtla Gutiérrez E254704 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: Tuxtla Gutiérrez | Statement: [Chiapas, capital, Tuxtla Gutiérrez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuxtla Gutiérrez
Context triple: [Chiapas, capital, Tuxtla Gutiérrez]
  • A. Tuxtla Gutiérrez chosen
    Tuxtla Gutiérrez is the capital and largest city of the Mexican state of Chiapas, known as a regional political, economic, and transportation hub.
  • B. Xalapa
    Xalapa is a city in eastern Mexico known as the capital and cultural center of the state of Veracruz.
  • C. Tapachula
    Tapachula is a major city in southern Mexico near the Guatemalan border, known as a key commercial and migration hub in the state of Chiapas.
  • D. Celaya
    Celaya is a major city and industrial municipality in the Mexican state of Guanajuato, known for its manufacturing sector and traditional cajeta (goat’s milk caramel).
  • E. Morelia
    Morelia is the capital city of the Mexican state of Michoacán, known for its well-preserved colonial architecture and historic city center, a UNESCO World Heritage Site.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafcc99908190897230b4b71e2ea8 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5281788fc81908baa6a14098281b4 completed March 14, 2026, 9:19 a.m.
Created at: March 8, 2026, 3:09 p.m.