Triple

T16469350
Position Surface form Disambiguated ID Type / Status
Subject La Paz Department E400018 entity
Predicate hasMunicipality P847 FINISHED
Object Cuyultitán
Cuyultitán is a municipality in central El Salvador known for its rural character and location within the La Paz Department.
 E1215416 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: Cuyultitán | Statement: [La Paz Department, hasMunicipality, Cuyultitán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cuyultitán
Context triple: [La Paz Department, hasMunicipality, Cuyultitán]
  • A. Mixiuhca
    Mixiuhca is a Mexico City Metro station on Line 9 serving the eastern part of the city.
  • B. Huauchinango
    Huauchinango is a historic town and municipality in the northern highlands of Puebla, Mexico, known for its mountainous scenery, coffee production, and annual flower festival.
  • C. Tenacatita
    Tenacatita is a coastal area in Jalisco, Mexico, known for its beaches, calm bay, and laid-back tourist atmosphere along the Costa Alegre.
  • D. Huehuetlán
    Huehuetlán is a small town in the Huasteca region of San Luis Potosí, Mexico, known for its indigenous culture and lush tropical surroundings.
  • E. Tezonco
    Tezonco is a metro station in Mexico City that serves the southeastern area of the city on the capital’s rapid transit network.
  • 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: Cuyultitán
Triple: [La Paz Department, hasMunicipality, Cuyultitán]
Generated description
Cuyultitán is a municipality in central El Salvador known for its rural character and location within the La Paz Department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cuyultitán
Target entity description: Cuyultitán is a municipality in central El Salvador known for its rural character and location within the La Paz Department.
  • A. Mixiuhca
    Mixiuhca is a Mexico City Metro station on Line 9 serving the eastern part of the city.
  • B. Huauchinango
    Huauchinango is a historic town and municipality in the northern highlands of Puebla, Mexico, known for its mountainous scenery, coffee production, and annual flower festival.
  • C. Tenacatita
    Tenacatita is a coastal area in Jalisco, Mexico, known for its beaches, calm bay, and laid-back tourist atmosphere along the Costa Alegre.
  • D. Huehuetlán
    Huehuetlán is a small town in the Huasteca region of San Luis Potosí, Mexico, known for its indigenous culture and lush tropical surroundings.
  • E. Tezonco
    Tezonco is a metro station in Mexico City that serves the southeastern area of the city on the capital’s rapid transit network.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcfed6c8190b8dbe4b65b0ab817 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5af4308190bd023624de35027f completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a0050c5d4548190a674c1c19f08a9fd completed May 10, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0051a7ae208190b33d42cc8d4bb21f completed May 10, 2026, 9:36 a.m.
Created at: April 10, 2026, 5:11 a.m.