Triple

T16707796
Position Surface form Disambiguated ID Type / Status
Subject Ernesto Cortissoz International Airport E406017 entity
Predicate IATAcode P418 FINISHED
Object BAQ
BAQ is the IATA airport code for Ernesto Cortissoz International Airport serving Barranquilla, Colombia.
 E1229399 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: BAQ | Statement: [Ernesto Cortissoz International Airport, IATAcode, BAQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BAQ
Context triple: [Ernesto Cortissoz International Airport, IATAcode, BAQ]
  • A. BAQ
    BAQ is the station code for Baquedano, a transit station in Chile’s transportation network.
  • B. 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.
  • C. BAW
    BAW is the ICAO airline designator used in aviation to identify British Airways flights and operations.
  • D. BQU
    BQU is the IATA airport code for J. F. Mitchell Airport, a small regional airport serving Bequia in Saint Vincent and the Grenadines.
  • E. BAK
    BAK is the National Rail station code used to identify Baker Street station in London’s rail network.
  • 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: BAQ
Triple: [Ernesto Cortissoz International Airport, IATAcode, BAQ]
Generated description
BAQ is the IATA airport code for Ernesto Cortissoz International Airport serving Barranquilla, Colombia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BAQ
Target entity description: BAQ is the IATA airport code for Ernesto Cortissoz International Airport serving Barranquilla, Colombia.
  • A. BAQ
    BAQ is the station code for Baquedano, a transit station in Chile’s transportation network.
  • B. 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.
  • C. BAW
    BAW is the ICAO airline designator used in aviation to identify British Airways flights and operations.
  • D. BQU
    BQU is the IATA airport code for J. F. Mitchell Airport, a small regional airport serving Bequia in Saint Vincent and the Grenadines.
  • E. BAK
    BAK is the acronym for the Swiss Federal Office of Culture, the national authority responsible for promoting and preserving Switzerland’s cultural heritage and arts.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38337ecac8190bc4a9410ed7681ab completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a50eac81908af26a5131bf0a6c completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00925fda608190b3674bd5e9ca6bf5 completed May 10, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_6a00939075d88190a63cdd942eb3fea8 completed May 10, 2026, 2:17 p.m.
Created at: April 10, 2026, 5:20 a.m.