Triple

T1319094
Position Surface form Disambiguated ID Type / Status
Subject Barcelona El Prat Airport E28174 entity
Predicate ICAOcode P419 FINISHED
Object LEBL
LEBL is the ICAO airport code for Barcelona–El Prat Airport, the main international gateway serving Barcelona, Spain.
 E150484 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: LEBL | Statement: [Barcelona El Prat Airport, ICAOcode, LEBL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LEBL
Context triple: [Barcelona El Prat Airport, ICAOcode, LEBL]
  • A. SEBL
    SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
  • B. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • C. Lesse
    The Lesse is a scenic river in southern Belgium known for flowing through the Ardennes, its limestone caves, and popular kayaking routes.
  • D. LYBE
    LYBE is the ICAO airport code for Belgrade Nikola Tesla Airport, the main international airport serving Serbia’s capital city.
  • E. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • 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: LEBL
Triple: [Barcelona El Prat Airport, ICAOcode, LEBL]
Generated description
LEBL is the ICAO airport code for Barcelona–El Prat Airport, the main international gateway serving Barcelona, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LEBL
Target entity description: LEBL is the ICAO airport code for Barcelona–El Prat Airport, the main international gateway serving Barcelona, Spain.
  • A. SEBL
    SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
  • B. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • C. Lesse
    The Lesse is a scenic river in southern Belgium known for flowing through the Ardennes, its limestone caves, and popular kayaking routes.
  • D. LYBE
    LYBE is the ICAO airport code for Belgrade Nikola Tesla Airport, the main international airport serving Serbia’s capital city.
  • E. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1780be8819083a9365b8a49305d completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbaf3cef88190ab1635bc5f452f8b completed March 7, 2026, 11:55 p.m.
NEDg Description generation batch_69acbb5ee684819083f5309dc9771c3a completed March 7, 2026, 11:57 p.m.
NED2 Entity disambiguation (via description) batch_69acbc010cd0819080b1f8695dc0990b completed March 8, 2026, midnight
Created at: March 1, 2026, 7:55 p.m.