Triple

T13946568
Position Surface form Disambiguated ID Type / Status
Subject Almería Airport E335399 entity
Predicate ICAOcode P419 FINISHED
Object LEAM
LEAM is the ICAO airport code for Almería Airport, a commercial airport serving the city of Almería in southeastern Spain.
E1070544 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: LEAM | Statement: [Almería Airport, ICAOcode, LEAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LEAM
Context triple: [Almería Airport, ICAOcode, LEAM]
  • A. LEAL
    LEAL is the ICAO airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
  • B. LEMD
    LEMD is the ICAO airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • 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. LEMH
    LEMH is the ICAO airport code for Menorca Airport, the main international airport serving the island of Menorca in Spain’s Balearic Islands.
  • E. LEAB
    LEAB is the ICAO airport code assigned to Albacete Air Base in Spain.
  • 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: LEAM
Triple: [Almería Airport, ICAOcode, LEAM]
Generated description
LEAM is the ICAO airport code for Almería Airport, a commercial airport serving the city of Almería in southeastern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LEAM
Target entity description: LEAM is the ICAO airport code for Almería Airport, a commercial airport serving the city of Almería in southeastern Spain.
  • A. LEAL
    LEAL is the ICAO airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
  • B. LEMD
    LEMD is the ICAO airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • 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. LEMH
    LEMH is the ICAO airport code for Menorca Airport, the main international airport serving the island of Menorca in Spain’s Balearic Islands.
  • E. LEAB
    LEAB is the ICAO airport code assigned to Albacete Air Base in Spain.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e10f60c81908ee9636e85c070ff completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce903c5c8190b72d83a5b842ad70 completed May 3, 2026, 10:39 p.m.
NEDg Description generation batch_69f9fd5d4abc8190aa10d9f1c9f7f9c9 completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69fb14bfa2c081908381bb74f040c6c8 completed May 6, 2026, 10:15 a.m.
Created at: April 9, 2026, 10:17 p.m.