Triple

T21492075
Position Surface form Disambiguated ID Type / Status
Subject Federico García Lorca Granada-Jaén Airport E530261 entity
Predicate ICAOcode P419 FINISHED
Object LEGR
LEGR is the ICAO airport code for Federico García Lorca Granada-Jaén Airport, which serves the city of Granada and the surrounding region in southern Spain.
 E1487574 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: LEGR | Statement: [Federico García Lorca Granada-Jaén Airport, ICAOcode, LEGR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LEGR
Context triple: [Federico García Lorca Granada-Jaén Airport, ICAOcode, LEGR]
  • A. LEGE
    LEGE is the ICAO airport code for Girona–Costa Brava Airport, an international airport serving the Girona region in Catalonia, Spain.
  • B. LEG
    LEG is the commonly used abbreviation for the Faculty of Law, Economics and Governance at Utrecht University, which combines legal, economic and governance disciplines.
  • C. LEG
    LEG is the National Rail station code for Lea Green railway station in Merseyside, England.
  • D. LEG
    LEG is the International Maritime Organization’s Legal Committee, responsible for developing and maintaining international maritime law and liability conventions.
  • E. LEAL
    LEAL is the ICAO airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
  • 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: LEGR
Triple: [Federico García Lorca Granada-Jaén Airport, ICAOcode, LEGR]
Generated description
LEGR is the ICAO airport code for Federico García Lorca Granada-Jaén Airport, which serves the city of Granada and the surrounding region in southern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LEGR
Target entity description: LEGR is the ICAO airport code for Federico García Lorca Granada-Jaén Airport, which serves the city of Granada and the surrounding region in southern Spain.
  • A. LEGE
    LEGE is the ICAO airport code for Girona–Costa Brava Airport, an international airport serving the Girona region in Catalonia, Spain.
  • B. LEG
    LEG is the commonly used abbreviation for the Faculty of Law, Economics and Governance at Utrecht University, which combines legal, economic and governance disciplines.
  • C. LEG
    LEG is the International Maritime Organization’s Legal Committee, responsible for developing and maintaining international maritime law and liability conventions.
  • D. LEG
    LEG is the National Rail station code for Lea Green railway station in Merseyside, England.
  • E. LEAL
    LEAL is the ICAO airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea3ba2fc81909638bbb3e1d92ea5 completed April 23, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e1398efc8190a6465defb1715c2b completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e24c7da48190b7e19f709b3c0d79 completed May 17, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_6a09e2c86858819092216c12d8aa3348 completed May 17, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:23 p.m.