Triple

T9929933
Position Surface form Disambiguated ID Type / Status
Subject Balmaceda Airport E192620 entity
Predicate IATAcode P418 FINISHED
Object BBA
BBA is the IATA airport code for Balmaceda Airport, a regional airport serving the Aysén Region in southern Chile.
E829257 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: BBA | Statement: [Balmaceda Airport, IATAcode, BBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBA
Context triple: [Balmaceda Airport, IATAcode, BBA]
  • A. BBA
    BBA is an undergraduate Bachelor of Business Administration degree program focused on foundational and applied business education.
  • B. BBA
    BBA is an Indian child-rights organization founded by Nobel laureate Kailash Satyarthi, known for its campaigns against child labor and trafficking.
  • C. MBA
    MBA is the three-letter IATA airport code assigned to Moi International Airport in Mombasa, Kenya.
  • D. MBA
    The MBA is a prestigious graduate-level business degree designed to develop advanced leadership, management, and analytical skills for careers in business and related fields.
  • E. BA
    BA is the two-letter ISO 3166-1 alpha-2 country code assigned to Bosnia and Herzegovina.
  • 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: BBA
Triple: [Balmaceda Airport, IATAcode, BBA]
Generated description
BBA is the IATA airport code for Balmaceda Airport, a regional airport serving the Aysén Region in southern Chile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BBA
Target entity description: BBA is the IATA airport code for Balmaceda Airport, a regional airport serving the Aysén Region in southern Chile.
  • A. BBA
    BBA is an undergraduate Bachelor of Business Administration degree program focused on foundational and applied business education.
  • B. BBA
    BBA is an Indian child-rights organization founded by Nobel laureate Kailash Satyarthi, known for its campaigns against child labor and trafficking.
  • C. MBA
    MBA is the three-letter IATA airport code assigned to Moi International Airport in Mombasa, Kenya.
  • D. MBA
    The MBA is a prestigious graduate-level business degree designed to develop advanced leadership, management, and analytical skills for careers in business and related fields.
  • E. BA
    BA is the two-letter ISO 3166-1 alpha-2 country code assigned to Bosnia and Herzegovina.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b215c481909e0bca43f158bd82 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e258e888190ae4e2abac80e3399 completed April 5, 2026, 7:24 a.m.
NEDg Description generation batch_69d21229a1188190899df0d8d7f78a7d completed April 5, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_69d212a46ee48190aa629a189dee531d completed April 5, 2026, 7:43 a.m.
Created at: March 30, 2026, 8:43 p.m.