Triple

T14346737
Position Surface form Disambiguated ID Type / Status
Subject Belém Air Base E355743 entity
Predicate hasIcaoCode P419 FINISHED
Object SBBE
SBBE is the ICAO airport code for Belém Air Base, a military airfield located in Belém, Brazil.
E1093589 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: SBBE | Statement: [Belém Air Base, hasIcaoCode, SBBE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SBBE
Context triple: [Belém Air Base, hasIcaoCode, SBBE]
  • A. FBBE
    FBBE is the regulatory body responsible for overseeing bar admissions and character and fitness evaluations for prospective lawyers in the state of Florida.
  • B. EBE
    EBE is the vehicle registration code used for cars registered in the Ebersberg district of Bavaria, Germany.
  • C. EBBE
    EBBE is the ICAO airport code for Beauvechain Air Base, a military airfield in Belgium.
  • D. BBI
    BBI is the commonly used abbreviation for the Burton Blatt Institute, a research and advocacy organization focused on advancing the rights and inclusion of people with disabilities.
  • E. SBBR
    SBBR is the ICAO airport code for Brasília International Airport, the main air gateway serving Brazil’s capital city.
  • 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: SBBE
Triple: [Belém Air Base, hasIcaoCode, SBBE]
Generated description
SBBE is the ICAO airport code for Belém Air Base, a military airfield located in Belém, Brazil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SBBE
Target entity description: SBBE is the ICAO airport code for Belém Air Base, a military airfield located in Belém, Brazil.
  • A. FBBE
    FBBE is the regulatory body responsible for overseeing bar admissions and character and fitness evaluations for prospective lawyers in the state of Florida.
  • B. EBE
    EBE is the vehicle registration code used for cars registered in the Ebersberg district of Bavaria, Germany.
  • C. EBBE
    EBBE is the ICAO airport code for Beauvechain Air Base, a military airfield in Belgium.
  • D. BBI
    BBI is the commonly used abbreviation for the Burton Blatt Institute, a research and advocacy organization focused on advancing the rights and inclusion of people with disabilities.
  • E. SBBR
    SBBR is the ICAO airport code for Brasília International Airport, the main air gateway serving Brazil’s capital city.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8b81bc8190ace2a575faf55cc0 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469f63b881909c164b1aaadcc15d completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd47bbc5e081908aa8b0e76661234f completed May 8, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69fd4840f0688190975d8c3c7eefb132 completed May 8, 2026, 2:19 a.m.
Created at: April 10, 2026, 1:14 a.m.