Triple

T1354513
Position Surface form Disambiguated ID Type / Status
Subject Nayarit E28956 entity
Predicate contains P35 FINISHED
Object Tepic E173358 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: Tepic | Statement: [Nayarit, contains, Tepic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tepic
Context triple: [Nayarit, contains, Tepic]
  • A. Tepic chosen
    Tepic is the capital city of the Mexican state of Nayarit, known as a regional commercial and transportation hub in western Mexico.
  • B. Toluca
    Toluca is a major city and the capital of the State of Mexico, known for its high altitude, industrial activity, and proximity to the Nevado de Toluca volcano.
  • C. Xalapa
    Xalapa is a city in eastern Mexico known as the capital and cultural center of the state of Veracruz.
  • D. Tlaxcala City
    Tlaxcala City is the small colonial-era capital of the state of Tlaxcala in central Mexico, known for its historic architecture and role in early Spanish-Indigenous encounters.
  • E. Guasave
    Guasave is a coastal agricultural and fishing city and municipality in the north-central region of the Mexican state of Sinaloa.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c28afc848190925d8b2f9aeac12d completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad3083a3748190b2404ef5edf90fd7 completed March 8, 2026, 8:17 a.m.
Created at: March 1, 2026, 7:56 p.m.