Triple

T20511229
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Mutatá E503565 entity
Predicate hasCapital P204 FINISHED
Object Mutatá
Mutatá is a town in the Antioquia Department of Colombia, known as an agricultural and transit hub in the Urabá region.
 E1435446 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: Mutatá | Statement: [Municipality of Mutatá, hasCapital, Mutatá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mutatá
Context triple: [Municipality of Mutatá, hasCapital, Mutatá]
  • A. Matmut
    Matmut is a French mutual insurance company that provides a wide range of insurance and financial services to individuals and businesses.
  • B. Menczel
    Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
  • C. Mundruczó
    Mundruczó is the surname of Hungarian film and theatre director Kornél Mundruczó, known for his innovative and often provocative works.
  • D. Mozasu
    Mozasu is a central character in Min Jin Lee's novel "Pachinko," a Korean-Japanese man whose life reflects the struggles and resilience of a marginalized immigrant family across generations.
  • E. Maszovlet
    Maszovlet was the state-owned Hungarian-Soviet civil aviation company that served as Hungary’s national airline in the early post–World War II period before becoming Malév Hungarian Airlines.
  • 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: Mutatá
Triple: [Municipality of Mutatá, hasCapital, Mutatá]
Generated description
Mutatá is a town in the Antioquia Department of Colombia, known as an agricultural and transit hub in the Urabá region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mutatá
Target entity description: Mutatá is a town in the Antioquia Department of Colombia, known as an agricultural and transit hub in the Urabá region.
  • A. Matmut
    Matmut is a French mutual insurance company that provides a wide range of insurance and financial services to individuals and businesses.
  • B. Menczel
    Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
  • C. Mundruczó
    Mundruczó is the surname of Hungarian film and theatre director Kornél Mundruczó, known for his innovative and often provocative works.
  • D. Mozasu
    Mozasu is a central character in Min Jin Lee's novel "Pachinko," a Korean-Japanese man whose life reflects the struggles and resilience of a marginalized immigrant family across generations.
  • E. Maszovlet
    Maszovlet was the state-owned Hungarian-Soviet civil aviation company that served as Hungary’s national airline in the early post–World War II period before becoming Malév Hungarian Airlines.
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dcb8f5c8190b0d4c09f3669a8ec completed April 20, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d36f4688190a084267f85744cc0 completed May 16, 2026, 4:37 p.m.
NEDg Description generation batch_6a089de26d548190882d6685aaa7f5fa completed May 16, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_6a089e5c696881909d1d793b884464a1 completed May 16, 2026, 4:42 p.m.
Created at: April 16, 2026, 11:36 a.m.