Triple

T12304744
Position Surface form Disambiguated ID Type / Status
Subject Lake Pátzcuaro E293323 entity
Predicate hasNearbyTown P3883 FINISHED
Object Quiroga
Quiroga is a town in the Mexican state of Michoacán, known for its traditional crafts, vibrant markets, and proximity to Lake Pátzcuaro.
E975671 NE FINISHED

How this triple was built (4 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: Quiroga | Statement: [Lake Pátzcuaro, hasNearbyTown, Quiroga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quiroga
Context triple: [Lake Pátzcuaro, hasNearbyTown, Quiroga]
  • A. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • B. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • C. Chiguayante
    Chiguayante is a Chilean city located near Concepción, known as part of the Greater Concepción metropolitan area in the south-central part of the country.
  • D. Vásquez
    Vásquez is a Spanish-language surname common in Latin America and Spain, borne by numerous notable figures in sports, politics, and the arts.
  • E. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Quiroga
Triple: [Lake Pátzcuaro, hasNearbyTown, Quiroga]
Generated description
Quiroga is a town in the Mexican state of Michoacán, known for its traditional crafts, vibrant markets, and proximity to Lake Pátzcuaro.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Quiroga
Target entity description: Quiroga is a town in the Mexican state of Michoacán, known for its traditional crafts, vibrant markets, and proximity to Lake Pátzcuaro.
  • A. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • B. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • C. Chiguayante
    Chiguayante is a Chilean city located near Concepción, known as part of the Greater Concepción metropolitan area in the south-central part of the country.
  • D. Vásquez
    Vásquez is a Spanish-language surname common in Latin America and Spain, borne by numerous notable figures in sports, politics, and the arts.
  • E. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • F. None of above. chosen

Provenance (5 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93edca2648190987eef19599e340c completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7f8fd08190bdef3bb761d53f97 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5cc5608190a67a888eb5136ada completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62009766c8190985fafe9ba53ae7b completed May 2, 2026, 4:02 p.m.
Created at: April 8, 2026, 9:53 p.m.