Triple

T19268115
Position Surface form Disambiguated ID Type / Status
Subject Magangué E481842 entity
Predicate isServedBy P1293 FINISHED
Object Magangué Airport
Magangué Airport is a regional public airport in Colombia that provides air transport services to the city of Magangué and its surrounding area.
E1370513 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: Magangué Airport | Statement: [Magangué, isServedBy, Magangué Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magangué Airport
Context triple: [Magangué, isServedBy, Magangué Airport]
  • A. Rurrenabaque Airport
    Rurrenabaque Airport is a small regional airport in Bolivia that serves as the main gateway for tourists visiting the Amazon rainforest and Madidi National Park.
  • B. El Caraño Airport
    El Caraño Airport is the main public airport serving the city of Quibdó in Colombia’s Chocó Department.
  • C. Cobán Airport
    Cobán Airport is a small regional airport serving the city of Cobán in central Guatemala, primarily handling domestic flights.
  • D. Palonegro International Airport
    Palonegro International Airport is the main commercial airport serving the city of Bucaramanga in northeastern Colombia.
  • E. Porvenir Airport
    Porvenir Airport is a small regional airport serving the town of Porvenir in the Chilean region of Tierra del Fuego.
  • 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: Magangué Airport
Triple: [Magangué, isServedBy, Magangué Airport]
Generated description
Magangué Airport is a regional public airport in Colombia that provides air transport services to the city of Magangué and its surrounding area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Magangué Airport
Target entity description: Magangué Airport is a regional public airport in Colombia that provides air transport services to the city of Magangué and its surrounding area.
  • A. Rurrenabaque Airport
    Rurrenabaque Airport is a small regional airport in Bolivia that serves as the main gateway for tourists visiting the Amazon rainforest and Madidi National Park.
  • B. El Caraño Airport
    El Caraño Airport is the main public airport serving the city of Quibdó in Colombia’s Chocó Department.
  • C. Cobán Airport
    Cobán Airport is a small regional airport serving the city of Cobán in central Guatemala, primarily handling domestic flights.
  • D. Palonegro International Airport
    Palonegro International Airport is the main commercial airport serving the city of Bucaramanga in northeastern Colombia.
  • E. Porvenir Airport
    Porvenir Airport is a small regional airport serving the town of Porvenir in the Chilean region of Tierra del Fuego.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8e1f888190a95f60fa29ca3b98 completed April 20, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a071bce5ef08190bca61ea94b5956d5 completed May 15, 2026, 1:12 p.m.
NEDg Description generation batch_6a071ca19f308190ac9072c5a8d3b665 completed May 15, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a071de35b9081908d1b6e797cbe69ce completed May 15, 2026, 1:21 p.m.
Created at: April 10, 2026, 1:29 p.m.