Triple

T5956419
Position Surface form Disambiguated ID Type / Status
Subject Rafael Núñez International Airport E132526 entity
Predicate ICAOcode P419 FINISHED
Object SKCG
SKCG is the ICAO airport code assigned to Rafael Núñez International Airport in Cartagena, Colombia.
E558563 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: SKCG | Statement: [Rafael Núñez International Airport, ICAOcode, SKCG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SKCG
Context triple: [Rafael Núñez International Airport, ICAOcode, SKCG]
  • A. SCGZ
    SCGZ is the ICAO airport code for Guardiamarina Zañartu Airport, a small airfield serving Puerto Williams in southern Chile.
  • B. KCGS
    KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
  • C. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • D. SKC
    SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
  • E. SKO
    SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
  • 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: SKCG
Triple: [Rafael Núñez International Airport, ICAOcode, SKCG]
Generated description
SKCG is the ICAO airport code assigned to Rafael Núñez International Airport in Cartagena, Colombia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SKCG
Target entity description: SKCG is the ICAO airport code assigned to Rafael Núñez International Airport in Cartagena, Colombia.
  • A. SCGZ
    SCGZ is the ICAO airport code for Guardiamarina Zañartu Airport, a small airfield serving Puerto Williams in southern Chile.
  • B. KCGS
    KCGS is the ICAO airport code for College Park Airport, a historic general aviation airfield located in College Park, Maryland, USA.
  • C. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • D. SKC
    SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
  • E. SKO
    SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c1de80819085c97a0aa2d37f32 completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3dd99888190ac3eeef692a7d879 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0ed9c53d4819082c661cdd2d26612 completed March 23, 2026, 7:37 a.m.
NED2 Entity disambiguation (via description) batch_69c0ee2ffbc88190a256b5cb8a98f382 completed March 23, 2026, 7:39 a.m.
Created at: March 22, 2026, 4:02 p.m.