Triple

T14041647
Position Surface form Disambiguated ID Type / Status
Subject San Juan Parangaricutiro E337860 entity
Predicate locatedNear P294 FINISHED
Object Uruapan E332778 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: Uruapan | Statement: [San Juan Parangaricutiro, locatedNear, Uruapan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uruapan
Context triple: [San Juan Parangaricutiro, locatedNear, Uruapan]
  • A. Uruapan chosen
    Uruapan is a major city in the Mexican state of Michoacán, known for its avocado production and proximity to the Paricutín volcano.
  • B. Yurécuaro
    Yurécuaro is a town in the state of Michoacán, Mexico, known as a regional agricultural center near the border with Jalisco.
  • C. Guasave
    Guasave is a coastal agricultural and fishing city and municipality in the north-central region of the Mexican state of Sinaloa.
  • D. Tecomán
    Tecomán is a city in the Mexican state of Colima known for its agricultural production, particularly limes, and its proximity to Pacific coast beaches.
  • E. Tepatitlán de Morelos
    Tepatitlán de Morelos is a prominent city in Mexico known for its agricultural production, religious traditions, and vibrant regional 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de311814e48190adb637e1c97c0658 completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef5c11708190a7fd4c0682b6ed81 completed May 9, 2026, 8:25 a.m.
Created at: April 9, 2026, 10:20 p.m.