Triple

T20079590
Position Surface form Disambiguated ID Type / Status
Subject Fort Lauderdale Executive Airport E499962 entity
Predicate IATAcode P418 FINISHED
Object FXE
FXE is the IATA airport code for Fort Lauderdale Executive Airport, a busy general aviation and corporate jet airport in Fort Lauderdale, Florida.
 E1410633 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: FXE | Statement: [Fort Lauderdale Executive Airport, IATAcode, FXE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FXE
Context triple: [Fort Lauderdale Executive Airport, IATAcode, FXE]
  • A. FX2
    FX2 is a 1991 action-thriller film and sequel to the movie "F/X," starring Brian Dennehy and Bryan Brown as they again use movie special-effects skills to outwit criminals.
  • B. FXMM
    FXMM is the ICAO airport code assigned to Moshoeshoe I International Airport in Lesotho.
  • C. FX
    FX is an American cable television network known for airing edgy, critically acclaimed original series and dramas.
  • D. FX
    FX is the identifying squadron code historically used by No. 92 Squadron of the Royal Air Force.
  • E. EFX
    EFX is the stock ticker symbol for Equifax Inc., a major U.S.-based consumer credit reporting agency.
  • 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: FXE
Triple: [Fort Lauderdale Executive Airport, IATAcode, FXE]
Generated description
FXE is the IATA airport code for Fort Lauderdale Executive Airport, a busy general aviation and corporate jet airport in Fort Lauderdale, Florida.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FXE
Target entity description: FXE is the IATA airport code for Fort Lauderdale Executive Airport, a busy general aviation and corporate jet airport in Fort Lauderdale, Florida.
  • A. FX2
    FX2 is a 1991 action-thriller film and sequel to the movie "F/X," starring Brian Dennehy and Bryan Brown as they again use movie special-effects skills to outwit criminals.
  • B. FXMM
    FXMM is the ICAO airport code assigned to Moshoeshoe I International Airport in Lesotho.
  • C. FX
    FX is an American cable television network known for airing edgy, critically acclaimed original series and dramas.
  • D. FX
    FX is the identifying squadron code historically used by No. 92 Squadron of the Royal Air Force.
  • E. EFX
    EFX is the stock ticker symbol for Equifax Inc., a major U.S.-based consumer credit reporting agency.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643f93208190ae2a413f88ea9aed completed April 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f43b37c819098e55bab84433896 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a0820057ee8819091d299de1559e1e2 completed May 16, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_6a08208c203c819083abea34d10d5e4e completed May 16, 2026, 7:45 a.m.
Created at: April 11, 2026, 3:40 p.m.