Triple

T16665408
Position Surface form Disambiguated ID Type / Status
Subject Cartago Province E404969 entity
Predicate hasMunicipality P847 FINISHED
Object Jiménez
Jiménez is a rural municipality in Costa Rica known for its agricultural activities and location within Cartago Province.
 E1227579 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: Jiménez | Statement: [Cartago Province, hasMunicipality, Jiménez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jiménez
Context triple: [Cartago Province, hasMunicipality, Jiménez]
  • A. Giménez
    Giménez is a Spanish-language surname commonly found in Spain and Latin American countries, borne by various notable figures in sports, arts, and public life.
  • B. Carrillo
    Carrillo is a Spanish-origin surname borne by numerous notable individuals across the Spanish-speaking world and beyond.
  • C. Godínez
    Godínez is a Spanish-language surname of Iberian origin commonly found across Latin America and among Hispanic communities worldwide.
  • D. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • E. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • 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: Jiménez
Triple: [Cartago Province, hasMunicipality, Jiménez]
Generated description
Jiménez is a rural municipality in Costa Rica known for its agricultural activities and location within Cartago Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jiménez
Target entity description: Jiménez is a rural municipality in Costa Rica known for its agricultural activities and location within Cartago Province.
  • A. Giménez
    Giménez is a Spanish-language surname commonly found in Spain and Latin American countries, borne by various notable figures in sports, arts, and public life.
  • B. Carrillo
    Carrillo is a Spanish-origin surname borne by numerous notable individuals across the Spanish-speaking world and beyond.
  • C. Godínez
    Godínez is a Spanish-language surname of Iberian origin commonly found across Latin America and among Hispanic communities worldwide.
  • D. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • E. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9cd7ec819084aa9b2830874bf5 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a32988c8190a671a4cbd829047a completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008aed0bfc8190886b6a2e08a885b9 completed May 10, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_6a008bc0e57c8190838ec383f2a1b52c completed May 10, 2026, 1:44 p.m.
Created at: April 10, 2026, 5:18 a.m.