Triple

T12026069
Position Surface form Disambiguated ID Type / Status
Subject Brest Bretagne Airport E286280 entity
Predicate ICAOcode P419 FINISHED
Object LFRB
LFRB is the ICAO airport code for Brest Bretagne Airport, an international airport serving the city of Brest in Brittany, France.
E959786 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: LFRB | Statement: [Brest Bretagne Airport, ICAOcode, LFRB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LFRB
Context triple: [Brest Bretagne Airport, ICAOcode, LFRB]
  • A. LFRS
    LFRS is the ICAO airport code for Nantes Atlantique Airport, a major international airport serving the city of Nantes in western France.
  • B. LFRJ
    LFRJ is the ICAO airport code for BAN Landivisiau, a French naval air base and military airfield in Brittany, France.
  • C. LFRH
    LFRH is the ICAO airport code for BAN Lann-Bihoué, a French naval air base near Lorient in Brittany.
  • D. LPFR
    LPFR is the ICAO airport code for Faro Airport, the main international gateway to Portugal’s Algarve region.
  • E. FRL
    FRL is the IATA airport code for Forlì International Airport in Forlì, Italy.
  • 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: LFRB
Triple: [Brest Bretagne Airport, ICAOcode, LFRB]
Generated description
LFRB is the ICAO airport code for Brest Bretagne Airport, an international airport serving the city of Brest in Brittany, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LFRB
Target entity description: LFRB is the ICAO airport code for Brest Bretagne Airport, an international airport serving the city of Brest in Brittany, France.
  • A. LFRS
    LFRS is the ICAO airport code for Nantes Atlantique Airport, a major international airport serving the city of Nantes in western France.
  • B. LFRJ
    LFRJ is the ICAO airport code for BAN Landivisiau, a French naval air base and military airfield in Brittany, France.
  • C. LFRH
    LFRH is the ICAO airport code for BAN Lann-Bihoué, a French naval air base near Lorient in Brittany.
  • D. LPFR
    LPFR is the ICAO airport code for Faro Airport, the main international gateway to Portugal’s Algarve region.
  • E. FRL
    FRL is the IATA airport code for Forlì International Airport in Forlì, Italy.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f02638819091e0cc0e93fa5ea7 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b8111b88190a42a8904a2d26862 completed May 1, 2026, 11:16 a.m.
NEDg Description generation batch_69f48fc7a8848190a06b34cc45db4789 completed May 1, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_69f495f069c48190a6e5856c272420c0 completed May 1, 2026, noon
Created at: April 8, 2026, 9:47 p.m.