Triple

T7274303
Position Surface form Disambiguated ID Type / Status
Subject Málaga Airport E162985 entity
Predicate ICAOcode P419 FINISHED
Object LEMG
LEMG is the ICAO airport code for Málaga–Costa del Sol Airport, the main international airport serving Málaga and Spain’s Costa del Sol region.
 E653683 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: LEMG | Statement: [Málaga Airport, ICAOcode, LEMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LEMG
Context triple: [Málaga Airport, ICAOcode, LEMG]
  • A. LEMD
    LEMD is the ICAO airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • B. LEMH
    LEMH is the ICAO airport code for Menorca Airport, the main international airport serving the island of Menorca in Spain’s Balearic Islands.
  • C. LEM
    LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
  • D. LEG
    LEG is the International Maritime Organization’s Legal Committee, responsible for developing and maintaining international maritime law and liability conventions.
  • E. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • 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: LEMG
Triple: [Málaga Airport, ICAOcode, LEMG]
Generated description
LEMG is the ICAO airport code for Málaga–Costa del Sol Airport, the main international airport serving Málaga and Spain’s Costa del Sol region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LEMG
Target entity description: LEMG is the ICAO airport code for Málaga–Costa del Sol Airport, the main international airport serving Málaga and Spain’s Costa del Sol region.
  • A. LEMD
    LEMD is the ICAO airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • B. LEMH
    LEMH is the ICAO airport code for Menorca Airport, the main international airport serving the island of Menorca in Spain’s Balearic Islands.
  • C. LEM
    LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
  • D. LEG
    LEG is the International Maritime Organization’s Legal Committee, responsible for developing and maintaining international maritime law and liability conventions.
  • E. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb0de9f48190807dd148758bad62 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db2936dc8190aed38888bb5e47b8 completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7df512bac81909e7c413302afd4ea completed March 28, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69c7dfcdc3908190a7e5bf653b87ed00 completed March 28, 2026, 2:03 p.m.
Created at: March 27, 2026, 2:58 p.m.