Triple

T1569864
Position Surface form Disambiguated ID Type / Status
Subject Antioquia Department E33513 entity
Predicate containsCity P294 FINISHED
Object Itagüí
Itagüí is a densely populated industrial and commercial city in northwestern Colombia, located in the metropolitan area of Medellín.
E179160 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: Itagüí | Statement: [Antioquia Department, containsCity, Itagüí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itagüí
Context triple: [Antioquia Department, containsCity, Itagüí]
  • A. Minoh
    Minoh is a suburban city in northern Osaka Prefecture, Japan, known for its scenic Minoh Waterfall, autumn foliage, and residential communities.
  • B. Namba City
    Namba City is a large shopping and entertainment complex in Osaka’s Namba district, featuring retail stores, restaurants, offices, and a rooftop garden integrated with the surrounding urban landscape.
  • C. Shibuya City
    Shibuya City is a major commercial and entertainment district in central Tokyo, Japan, famous for its bustling scramble crossing, youth culture, and fashion scene.
  • D. Yokohama
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • E. Hachiōji
    Hachiōji is a city in western Tokyo, Japan, known as a regional commercial and educational hub with rich historical sites and access to nearby mountains and nature.
  • 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: Itagüí
Triple: [Antioquia Department, containsCity, Itagüí]
Generated description
Itagüí is a densely populated industrial and commercial city in northwestern Colombia, located in the metropolitan area of Medellín.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Itagüí
Target entity description: Itagüí is a densely populated industrial and commercial city in northwestern Colombia, located in the metropolitan area of Medellín.
  • A. Minoh
    Minoh is a suburban city in northern Osaka Prefecture, Japan, known for its scenic Minoh Waterfall, autumn foliage, and residential communities.
  • B. Namba City
    Namba City is a large shopping and entertainment complex in Osaka’s Namba district, featuring retail stores, restaurants, offices, and a rooftop garden integrated with the surrounding urban landscape.
  • C. Shibuya City
    Shibuya City is a major commercial and entertainment district in central Tokyo, Japan, famous for its bustling scramble crossing, youth culture, and fashion scene.
  • D. Yokohama
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • E. Hachiōji
    Hachiōji is a city in western Tokyo, Japan, known as a regional commercial and educational hub with rich historical sites and access to nearby mountains and nature.
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908b67304819081ad555000e51197 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad40263ef08190a968f6c822b5d483 completed March 8, 2026, 9:23 a.m.
NEDg Description generation batch_69ad40cb84d081908c6e1651989de716 completed March 8, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69ad41b1192c81909b89013d8296fd22 completed March 8, 2026, 9:30 a.m.
Created at: March 4, 2026, 7:27 p.m.