Triple

T10953741
Position Surface form Disambiguated ID Type / Status
Subject Brienne-le-Château airfield E258788 entity
Predicate hasICAOCode P419 FINISHED
Object LFFN
LFFN is the ICAO airport code for Brienne-le-Château airfield, a small airfield in northeastern France.
 E894918 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: LFFN | Statement: [Brienne-le-Château airfield, hasICAOCode, LFFN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LFFN
Context triple: [Brienne-le-Château airfield, hasICAOCode, LFFN]
  • A. LFL
    LFL is the Legends Football League, a women's American football league featuring teams such as the Chicago Bliss.
  • B. LFL
    LFL is the former New York Stock Exchange ticker symbol for LAN Airlines, a major Chilean airline that later became part of LATAM Airlines Group.
  • C. LFF
    LFF is the commonly used abbreviation for the Libyan Football Federation, the governing body for football in Libya.
  • D. LFF
    LFF is the commonly used abbreviation for the BFI London Film Festival, a major annual international film festival held in London.
  • E. LLFPA
    LLFPA is a U.S. federal law that strengthens workers’ ability to challenge pay discrimination by resetting the statute of limitations with each discriminatory paycheck.
  • 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: LFFN
Triple: [Brienne-le-Château airfield, hasICAOCode, LFFN]
Generated description
LFFN is the ICAO airport code for Brienne-le-Château airfield, a small airfield in northeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LFFN
Target entity description: LFFN is the ICAO airport code for Brienne-le-Château airfield, a small airfield in northeastern France.
  • A. LFL
    LFL is the Legends Football League, a women's American football league featuring teams such as the Chicago Bliss.
  • B. LFL
    LFL is the former New York Stock Exchange ticker symbol for LAN Airlines, a major Chilean airline that later became part of LATAM Airlines Group.
  • C. LFF
    LFF is the commonly used abbreviation for the BFI London Film Festival, a major annual international film festival held in London.
  • D. LFF
    LFF is the commonly used abbreviation for the Libyan Football Federation, the governing body for football in Libya.
  • E. LLFPA
    LLFPA is a U.S. federal law that strengthens workers’ ability to challenge pay discrimination by resetting the statute of limitations with each discriminatory paycheck.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fe4cfc81909032296c31e077f0 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c64089c8190a9c0aa63d7e7dc64 completed April 17, 2026, 1:57 p.m.
NEDg Description generation batch_69e24543bd2c8190a3c807baa76c30f6 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e25d11ef24819091e730ae2416a058 completed April 17, 2026, 4:17 p.m.
Created at: April 8, 2026, 9:23 p.m.