Triple

T19364635
Position Surface form Disambiguated ID Type / Status
Subject Alexandroupolis International Airport E484369 entity
Predicate ICAOcode P419 FINISHED
Object LGAL
LGAL is the ICAO airport code for Alexandroupolis International Airport in northeastern Greece.
E1372873 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: LGAL | Statement: [Alexandroupolis International Airport, ICAOcode, LGAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LGAL
Context triple: [Alexandroupolis International Airport, ICAOcode, LGAL]
  • A. GAL
    GAL is the IATA airport code for the public airport serving Galena, a remote community in Alaska.
  • B. LGAT
    LGAT is the former ICAO airport code for Ellinikon International Airport, the now-closed primary airport that once served Athens, Greece.
  • C. LAG
    LAG is the commonly used abbreviation for the LA Galaxy, a professional Major League Soccer club based in the Los Angeles area.
  • D. LGLE
    LGLE is the ICAO airport code for Leros Municipal Airport, a small regional airport serving the Greek island of Leros in the Aegean Sea.
  • E. LGZA
    LGZA is the ICAO airport code for Zakynthos International Airport, which serves the Greek island of Zakynthos in the Ionian Sea.
  • 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: LGAL
Triple: [Alexandroupolis International Airport, ICAOcode, LGAL]
Generated description
LGAL is the ICAO airport code for Alexandroupolis International Airport in northeastern Greece.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LGAL
Target entity description: LGAL is the ICAO airport code for Alexandroupolis International Airport in northeastern Greece.
  • A. GAL
    GAL is the IATA airport code for the public airport serving Galena, a remote community in Alaska.
  • B. LGAT
    LGAT is the former ICAO airport code for Ellinikon International Airport, the now-closed primary airport that once served Athens, Greece.
  • C. LAG
    LAG is the commonly used abbreviation for the LA Galaxy, a professional Major League Soccer club based in the Los Angeles area.
  • D. LGLE
    LGLE is the ICAO airport code for Leros Municipal Airport, a small regional airport serving the Greek island of Leros in the Aegean Sea.
  • E. LGZA
    LGZA is the ICAO airport code for Zakynthos International Airport, which serves the Greek island of Zakynthos in the Ionian Sea.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619a9ac68819082cf9deadf526156 completed April 20, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07241416c48190ae73fef73c24b677 completed May 15, 2026, 1:48 p.m.
NEDg Description generation batch_6a0725b012048190acd3d1d2fd2fada5 completed May 15, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0726c6a8ac8190af3149f7111ea3ea completed May 15, 2026, 1:59 p.m.
Created at: April 10, 2026, 1:35 p.m.