Triple

T16858809
Position Surface form Disambiguated ID Type / Status
Subject Santiago–Rosalía de Castro Airport E409855 entity
Predicate ICAOcode P419 FINISHED
Object LEST
LEST is the ICAO airport code for Santiago–Rosalía de Castro Airport in Santiago de Compostela, Spain.
 E1236803 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: LEST | Statement: [Santiago–Rosalía de Castro Airport, ICAOcode, LEST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LEST
Context triple: [Santiago–Rosalía de Castro Airport, ICAOcode, LEST]
  • A. Letz
    Letz is the surname of George Montgomery, an American actor and filmmaker active in mid-20th-century Hollywood.
  • B. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • C. Les
    Les is a small municipality in the Aran Valley of Catalonia, Spain, known for its Pyrenean mountain setting and traditional local culture.
  • D. LEAL
    LEAL is the ICAO airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
  • E. LeT
    LeT is a Pakistan-based Islamist militant organization widely known for carrying out the 2008 Mumbai terrorist attacks and being designated as a terrorist group by numerous countries.
  • 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: LEST
Triple: [Santiago–Rosalía de Castro Airport, ICAOcode, LEST]
Generated description
LEST is the ICAO airport code for Santiago–Rosalía de Castro Airport in Santiago de Compostela, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LEST
Target entity description: LEST is the ICAO airport code for Santiago–Rosalía de Castro Airport in Santiago de Compostela, Spain.
  • A. Letz
    Letz is the surname of George Montgomery, an American actor and filmmaker active in mid-20th-century Hollywood.
  • B. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • C. Les
    Les is a small municipality in the Aran Valley of Catalonia, Spain, known for its Pyrenean mountain setting and traditional local culture.
  • D. LEAL
    LEAL is the ICAO airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
  • E. LeT
    LeT is a Pakistan-based Islamist militant organization widely known for carrying out the 2008 Mumbai terrorist attacks and being designated as a terrorist group by numerous countries.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b501f72881909f7600311705fb33 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb25300c8190a352037c21c244bd completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbc80d54819092de4ee363508b49 completed May 10, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc633abc8190a86808986ba294ec completed May 10, 2026, 5:12 p.m.
Created at: April 10, 2026, 5:24 a.m.