Triple

T11968479
Position Surface form Disambiguated ID Type / Status
Subject Campo de Belchite comarca E284852 entity
Predicate contains P35 FINISHED
Object Codo
Codo is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
 E956349 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: Codo | Statement: [Campo de Belchite comarca, contains, Codo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Codo
Context triple: [Campo de Belchite comarca, contains, Codo]
  • A. Cachi
    Cachi is a picturesque Andean town in northwestern Argentina, known for its colonial architecture, mountain scenery, and role as a gateway to the Calchaquí Valleys.
  • B. Chuch’e
    Chuch’e is an alternative spelling of Juche, the North Korean state ideology centered on political self-reliance and national independence.
  • C. Guabiraba
    Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
  • D. Basto
    Basto is a subregion of Portugal’s Vinho Verde wine area, known for producing fresh, often slightly effervescent white wines from indigenous grape varieties.
  • E. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • 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: Codo
Triple: [Campo de Belchite comarca, contains, Codo]
Generated description
Codo is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Codo
Target entity description: Codo is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
  • A. Cachi
    Cachi is a picturesque Andean town in northwestern Argentina, known for its colonial architecture, mountain scenery, and role as a gateway to the Calchaquí Valleys.
  • B. Chuch’e
    Chuch’e is an alternative spelling of Juche, the North Korean state ideology centered on political self-reliance and national independence.
  • C. Guabiraba
    Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
  • D. Basto
    Basto is a subregion of Portugal’s Vinho Verde wine area, known for producing fresh, often slightly effervescent white wines from indigenous grape varieties.
  • E. Cáqueza
    Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037bee54819085242a3ef3e286f9 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459691ff0819099282172933d2d81 completed May 1, 2026, 7:42 a.m.
NEDg Description generation batch_69f4645ef63881909b46937f73d637a3 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f465be4db08190882898a17d077019 completed May 1, 2026, 8:35 a.m.
Created at: April 8, 2026, 9:46 p.m.