Triple

T19006534
Position Surface form Disambiguated ID Type / Status
Subject Bosaso Airport E465099 entity
Predicate hasIATACode P2569 FINISHED
Object BSA
BSA is the IATA airport code for Bosaso Airport, a regional airport serving the city of Bosaso in Puntland, Somalia.
E1353889 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: BSA | Statement: [Bosaso Airport, hasIATACode, BSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BSA
Context triple: [Bosaso Airport, hasIATACode, BSA]
  • A. BSA
    BSA is a U.S. anti-money laundering law that requires financial institutions to assist government agencies in detecting and preventing financial crimes.
  • B. BSA
    BSA is the Board of Scientific Affairs of the American Psychological Association, which oversees and promotes psychological science within the organization.
  • C. BSA
    BSA (Birmingham Small Arms Company) was a major British manufacturer best known for producing firearms, military equipment, and later motorcycles and bicycles.
  • D. BSA Group
    BSA Group is a business conglomerate known for expanding its portfolio through strategic acquisitions in sectors such as climate control and industrial services.
  • E. BAAS
    BAAS is the acronym commonly used for the British Association for the Advancement of Science, a historic organization dedicated to promoting science and its understanding.
  • 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: BSA
Triple: [Bosaso Airport, hasIATACode, BSA]
Generated description
BSA is the IATA airport code for Bosaso Airport, a regional airport serving the city of Bosaso in Puntland, Somalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BSA
Target entity description: BSA is the IATA airport code for Bosaso Airport, a regional airport serving the city of Bosaso in Puntland, Somalia.
  • A. BSA
    BSA is a U.S. anti-money laundering law that requires financial institutions to assist government agencies in detecting and preventing financial crimes.
  • B. BSA
    BSA is the Board of Scientific Affairs of the American Psychological Association, which oversees and promotes psychological science within the organization.
  • C. BSA
    BSA (Birmingham Small Arms Company) was a major British manufacturer best known for producing firearms, military equipment, and later motorcycles and bicycles.
  • D. BSA Group
    BSA Group is a business conglomerate known for expanding its portfolio through strategic acquisitions in sectors such as climate control and industrial services.
  • E. BAAS
    BAAS is the acronym commonly used for the British Association for the Advancement of Science, a historic organization dedicated to promoting science and its understanding.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a561848190bd957f248471c191 completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05b463d4a08190b15403ea0ad23682 completed May 14, 2026, 11:39 a.m.
NEDg Description generation batch_6a05b5dfac0c8190b67921280d5ab1fe completed May 14, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a05b68aba3081908ca21d732e45f454 completed May 14, 2026, 11:48 a.m.
Created at: April 10, 2026, 12:01 p.m.