Triple

T10058104
Position Surface form Disambiguated ID Type / Status
Subject Manizales E208912 entity
Predicate hasDemonym P191 FINISHED
Object Manizaleña
Manizaleña is the Spanish term for a female inhabitant or native of the city of Manizales in Colombia.
 E838712 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: Manizaleña | Statement: [Manizales, hasDemonym, Manizaleña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Manizaleña
Context triple: [Manizales, hasDemonym, Manizaleña]
  • A. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • B. Tagüeña
    Tagüeña is a Spanish surname most notably associated with Manuel Tagüeña, a Republican military officer and physicist active during the Spanish Civil War.
  • C. Loiceño
    Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
  • D. Bañuela
    Bañuela is the highest peak in Spain’s Sierra Morena mountain range, located in the southern part of the Iberian Peninsula.
  • E. Masbateño
    Masbateño is a Central Philippine Bisayan language spoken primarily on Masbate Island in the Philippines.
  • 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: Manizaleña
Triple: [Manizales, hasDemonym, Manizaleña]
Generated description
Manizaleña is the Spanish term for a female inhabitant or native of the city of Manizales in Colombia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Manizaleña
Target entity description: Manizaleña is the Spanish term for a female inhabitant or native of the city of Manizales in Colombia.
  • A. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • B. Tagüeña
    Tagüeña is a Spanish surname most notably associated with Manuel Tagüeña, a Republican military officer and physicist active during the Spanish Civil War.
  • C. Loiceño
    Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
  • D. Bañuela
    Bañuela is the highest peak in Spain’s Sierra Morena mountain range, located in the southern part of the Iberian Peninsula.
  • E. Masbateño
    Masbateño is a Central Philippine Bisayan language spoken primarily on Masbate Island in the Philippines.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfaf7700819084dedf7b63e789c1 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a5d4b308190b5b1ece1ca99be86 completed April 5, 2026, 5:22 p.m.
NEDg Description generation batch_69d29b7430248190b8965eaf1286dd7c completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c7ba9f081908f4614098d6c954b completed April 5, 2026, 5:31 p.m.
Created at: March 30, 2026, 8:57 p.m.