Triple

T8987647
Position Surface form Disambiguated ID Type / Status
Subject Colombia national football team E214708 entity
Predicate fifaCode P6278 FINISHED
Object COL
COL is the three-letter FIFA country code used to represent the Colombia national football team in international competitions and rankings.
 E771260 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: COL | Statement: [Colombia national football team, fifaCode, COL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: COL
Context triple: [Colombia national football team, fifaCode, COL]
  • A. COL
    COL is the acronym for the Commonwealth of Learning, an intergovernmental organization that promotes open and distance learning across Commonwealth countries.
  • B. COL
    COL is the standard three-letter abbreviation used for the Colorado Rockies Major League Baseball team.
  • C. COL
    COL is the standard three-letter abbreviation used to represent the Colorado Rapids, a professional Major League Soccer team based in the Denver metropolitan area.
  • D. COL
    COL is the three-letter IATA airport code assigned to Coll Airport, a small airfield serving the island of Coll in Scotland.
  • E. COL
    COL is the standard NHL abbreviation for the Colorado Avalanche professional ice hockey team.
  • 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: COL
Triple: [Colombia national football team, fifaCode, COL]
Generated description
COL is the three-letter FIFA country code used to represent the Colombia national football team in international competitions and rankings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: COL
Target entity description: COL is the three-letter FIFA country code used to represent the Colombia national football team in international competitions and rankings.
  • A. COL
    COL is the acronym for the Commonwealth of Learning, an intergovernmental organization that promotes open and distance learning across Commonwealth countries.
  • B. COL
    COL is the standard three-letter abbreviation used for the Colorado Rockies Major League Baseball team.
  • C. COL
    COL is the standard NHL abbreviation for the Colorado Avalanche professional ice hockey team.
  • D. COL
    COL is the standard three-letter abbreviation used to represent the Colorado Rapids, a professional Major League Soccer team based in the Denver metropolitan area.
  • E. COL
    COL is the three-letter IATA airport code assigned to Coll Airport, a small airfield serving the island of Coll in Scotland.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67ef19108190ac518c4f744b6d60 completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0c155cc819087f1060454da38e5 completed April 3, 2026, 2:37 p.m.
NEDg Description generation batch_69cfd15c82208190adc11bc6ab1b959b completed April 3, 2026, 2:40 p.m.
NED2 Entity disambiguation (via description) batch_69cfd1eb7f588190a7b7a4ccb48a51d9 completed April 3, 2026, 2:42 p.m.
Created at: March 30, 2026, 7:04 p.m.