Triple

T20182448
Position Surface form Disambiguated ID Type / Status
Subject Bourges Airport E492764 entity
Predicate IATAcode P418 FINISHED
Object BOU
BOU is the IATA airport code for Bourges Airport, a regional airport serving the city of Bourges in central France.
E1415754 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: BOU | Statement: [Bourges Airport, IATAcode, BOU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BOU
Context triple: [Bourges Airport, IATAcode, BOU]
  • A. BoU
    BoU is the central bank of Uganda, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
  • B. Bou
    Bou is a surname of Spanish origin borne by Argentine professional footballer Gustavo Bou, among others.
  • C. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • D. BON
    BON is the IATA airport code for Flamingo International Airport, the main air gateway to the Caribbean island of Bonaire.
  • E. BON
    BON is the National Rail station code for Bolton railway station in Greater Manchester, England.
  • 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: BOU
Triple: [Bourges Airport, IATAcode, BOU]
Generated description
BOU is the IATA airport code for Bourges Airport, a regional airport serving the city of Bourges in central France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BOU
Target entity description: BOU is the IATA airport code for Bourges Airport, a regional airport serving the city of Bourges in central France.
  • A. BoU
    BoU is the central bank of Uganda, responsible for issuing the national currency and overseeing the country’s monetary and financial stability.
  • B. Bou
    Bou is a surname of Spanish origin borne by Argentine professional footballer Gustavo Bou, among others.
  • C. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • D. BON
    BON is the National Rail station code for Bolton railway station in Greater Manchester, England.
  • E. BON
    BON is the IATA airport code for Flamingo International Airport, the main air gateway to the Caribbean island of Bonaire.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668ef9370819091a8479f811002a9 completed April 20, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083c7dc3bc81909c749262ba4adcd4 completed May 16, 2026, 9:44 a.m.
NEDg Description generation batch_6a083d416d9081909c446f46984e11c1 completed May 16, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_6a083df6a4f88190be94dd716911c806 completed May 16, 2026, 9:50 a.m.
Created at: April 11, 2026, 11:36 p.m.