Triple

T382813
Position Surface form Disambiguated ID Type / Status
Subject Le Bourget Field E8716 entity
Predicate ICAOcode P419 FINISHED
Object LFPB
LFPB is the ICAO airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for business aviation and the Paris Air Show.
E48093 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: LFPB | Statement: [Le Bourget Field, ICAOcode, LFPB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LFPB
Context triple: [Le Bourget Field, ICAOcode, LFPB]
  • A. LFPG
    LFPG is the ICAO airport code for Paris Charles de Gaulle Airport, France’s largest and busiest international air hub.
  • B. LFPO
    LFPO is the ICAO airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
  • C. PLAF
    PLAF is an abbreviation commonly used to refer to the Polish Air Force, the air warfare branch of Poland’s armed forces.
  • D. PIF
    PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
  • E.
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • 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: LFPB
Triple: [Le Bourget Field, ICAOcode, LFPB]
Generated description
LFPB is the ICAO airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for business aviation and the Paris Air Show.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LFPB
Target entity description: LFPB is the ICAO airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for business aviation and the Paris Air Show.
  • A. LFPG
    LFPG is the ICAO airport code for Paris Charles de Gaulle Airport, France’s largest and busiest international air hub.
  • B. LFPO
    LFPO is the ICAO airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
  • C. PLAF
    PLAF is an abbreviation commonly used to refer to the Polish Air Force, the air warfare branch of Poland’s armed forces.
  • D. PIF
    PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
  • E.
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec40ff8c81909306eb2dfe1512af completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3fb0100fc8190819b977bb7a98d7f completed March 1, 2026, 8:38 a.m.
NEDg Description generation batch_69a3fb6569e881909d52f07a4207ed24 completed March 1, 2026, 8:40 a.m.
NED2 Entity disambiguation (via description) batch_69a3fbdfdfcc81909ae03736623594d5 completed March 1, 2026, 8:42 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.