Triple

T10451341
Position Surface form Disambiguated ID Type / Status
Subject Lanvéoc-Poulmic E246429 entity
Predicate hasIcaoCode P419 FINISHED
Object LFRL
LFRL is the ICAO airport code for the French naval air base at Lanvéoc-Poulmic in Brittany.
 E863359 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: LFRL | Statement: [Lanvéoc-Poulmic, hasIcaoCode, LFRL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LFRL
Context triple: [Lanvéoc-Poulmic, hasIcaoCode, LFRL]
  • A. FRL
    FRL is the IATA airport code for Forlì International Airport in Forlì, Italy.
  • B. LF
    LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
  • C. LF
    LF is a German vehicle registration code assigned to the Traunstein district in the state of Bavaria.
  • D. FLR
    FLR is the IATA airport code for Florence Airport, the main international airport serving Florence, Italy.
  • E. LFLL
    LFLL is the ICAO airport code for Lyon–Saint-Exupéry Airport, a major international airport serving the city of Lyon in France.
  • 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: LFRL
Triple: [Lanvéoc-Poulmic, hasIcaoCode, LFRL]
Generated description
LFRL is the ICAO airport code for the French naval air base at Lanvéoc-Poulmic in Brittany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LFRL
Target entity description: LFRL is the ICAO airport code for the French naval air base at Lanvéoc-Poulmic in Brittany.
  • A. FRL
    FRL is the IATA airport code for Forlì International Airport in Forlì, Italy.
  • B. LF
    LF is a German vehicle registration code assigned to the Traunstein district in the state of Bavaria.
  • C. LF
    LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
  • D. FLR
    FLR is the IATA airport code for Florence Airport, the main international airport serving Florence, Italy.
  • E. LFLL
    LFLL is the ICAO airport code for Lyon–Saint-Exupéry Airport, a major international airport serving the city of Lyon in France.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe0a6a548190a54212912f618e4e completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87efedf6c8190aa4b7bbe5f160eeb completed April 10, 2026, 4:39 a.m.
NEDg Description generation batch_69d886c562c081908aae846da8efb1a5 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dce21448190b093b4f548e29f84 completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:17 p.m.