Triple

T10491554
Position Surface form Disambiguated ID Type / Status
Subject Puyo Airport E247431 entity
Predicate hasICAOCode P419 FINISHED
Object SEPU
SEPU is the ICAO airport code assigned to Puyo Airport in Ecuador.
 E867543 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: SEPU | Statement: [Puyo Airport, hasICAOCode, SEPU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SEPU
Context triple: [Puyo Airport, hasICAOCode, SEPU]
  • A. Seppa
    Seppa is a town in the East Kameng district of Arunachal Pradesh in northeastern India, serving as an administrative and cultural center in the Himalayan foothills.
  • B. SUSU
    SUSU is the students' union representing and supporting students at the University of Southampton through services, activities, and advocacy.
  • C. Sukeva
    Sukeva is a village in northern Finland best known for housing the Sukevan vankila prison facility.
  • D. Seitu
    Seitu is a personal care and cosmetics brand owned by the Mexican direct-selling company Grupo Omnilife.
  • E. Supo
    Supo is Finland’s national security and intelligence agency responsible for counterintelligence, counterterrorism, and protecting the country’s internal security.
  • 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: SEPU
Triple: [Puyo Airport, hasICAOCode, SEPU]
Generated description
SEPU is the ICAO airport code assigned to Puyo Airport in Ecuador.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SEPU
Target entity description: SEPU is the ICAO airport code assigned to Puyo Airport in Ecuador.
  • A. Seppa
    Seppa is a town in the East Kameng district of Arunachal Pradesh in northeastern India, serving as an administrative and cultural center in the Himalayan foothills.
  • B. SUSU
    SUSU is the students' union representing and supporting students at the University of Southampton through services, activities, and advocacy.
  • C. Sukeva
    Sukeva is a village in northern Finland best known for housing the Sukevan vankila prison facility.
  • D. Seitu
    Seitu is a personal care and cosmetics brand owned by the Mexican direct-selling company Grupo Omnilife.
  • E. Supo
    Supo is Finland’s national security and intelligence agency responsible for counterintelligence, counterterrorism, and protecting the country’s internal security.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097e1c888190bc8e039f2e46181e completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dca37b0881908ced885d9853bc1b completed April 10, 2026, 11:18 a.m.
NEDg Description generation batch_69d8e8c81bdc8190b6b6dfe00025b514 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901ef24608190934377d9dc855d6f completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:24 p.m.