Triple

T1548860
Position Surface form Disambiguated ID Type / Status
Subject Caldas Department E33040 entity
Predicate hasCity P316 FINISHED
Object Aranzazu
Aranzazu is a small Colombian town located in the mountainous coffee-growing region of the Caldas Department.
 E175737 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: Aranzazu | Statement: [Caldas Department, hasCity, Aranzazu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aranzazu
Context triple: [Caldas Department, hasCity, Aranzazu]
  • A. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • B. Ikurriña
    Ikurriña is the distinctive red, green, and white flag that symbolizes the Basque people and their homeland in northern Spain and southwestern France.
  • C. Ihuatzio
    Ihuatzio is an important pre-Columbian archaeological site in western Mexico that served as one of the principal urban and ceremonial centers of the Purépecha (Tarascan) civilization.
  • D. Ibora
    Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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: Aranzazu
Triple: [Caldas Department, hasCity, Aranzazu]
Generated description
Aranzazu is a small Colombian town located in the mountainous coffee-growing region of the Caldas Department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aranzazu
Target entity description: Aranzazu is a small Colombian town located in the mountainous coffee-growing region of the Caldas Department.
  • A. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • B. Ikurriña
    Ikurriña is the distinctive red, green, and white flag that symbolizes the Basque people and their homeland in northern Spain and southwestern France.
  • C. Ihuatzio
    Ihuatzio is an important pre-Columbian archaeological site in western Mexico that served as one of the principal urban and ceremonial centers of the Purépecha (Tarascan) civilization.
  • D. Ibora
    Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90856642c81909d88a679eb265b10 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30a29ae88190ab1b2ca97b8ed09c completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad3196e92481909bd09e6c765a9698 completed March 8, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69ad32391ed881909826a80a90f18cb4 completed March 8, 2026, 8:24 a.m.
Created at: March 4, 2026, 7:26 p.m.