Triple

T8499152
Position Surface form Disambiguated ID Type / Status
Subject Modibo Keita International Airport E201171 entity
Predicate IATAcode P418 FINISHED
Object BKO
BKO is the IATA airport code for Modibo Keita International Airport, the main international gateway serving Bamako, the capital of Mali.
E740022 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: BKO | Statement: [Modibo Keita International Airport, IATAcode, BKO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BKO
Context triple: [Modibo Keita International Airport, IATAcode, BKO]
  • A. BKR
    BKR is the postal code prefix used for addresses in the town of Birkirkara in Malta.
  • B. BKR
    BKR was the abbreviated name of the People's Security Agency, an early post-World War II Indonesian security and defense organization.
  • C. BUK
    BUK is a major Nigerian federal university located in Kano, known for its wide range of academic programs and research activities.
  • D. BK3
    BK3 is a jam band led by Grateful Dead drummer Bill Kreutzmann, known for live improvisational rock performances.
  • E. BKB
    BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
  • 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: BKO
Triple: [Modibo Keita International Airport, IATAcode, BKO]
Generated description
BKO is the IATA airport code for Modibo Keita International Airport, the main international gateway serving Bamako, the capital of Mali.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BKO
Target entity description: BKO is the IATA airport code for Modibo Keita International Airport, the main international gateway serving Bamako, the capital of Mali.
  • A. BKR
    BKR was the abbreviated name of the People's Security Agency, an early post-World War II Indonesian security and defense organization.
  • B. BKR
    BKR is the postal code prefix used for addresses in the town of Birkirkara in Malta.
  • C. BUK
    BUK is a major Nigerian federal university located in Kano, known for its wide range of academic programs and research activities.
  • D. BK3
    BK3 is a jam band led by Grateful Dead drummer Bill Kreutzmann, known for live improvisational rock performances.
  • E. BKB
    BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5984d7481908c41c57bef9cf254 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e0aa7788190abd7bb259966bc44 completed April 2, 2026, 11:07 a.m.
NEDg Description generation batch_69ce4ff668d4819081f4c3186437291b completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce54cc52cc81908ca48c93956ca86e completed April 2, 2026, 11:36 a.m.
Created at: March 30, 2026, 6:14 p.m.