Triple

T14195442
Position Surface form Disambiguated ID Type / Status
Subject Lungi International Airport E351823 entity
Predicate IATAcode P418 FINISHED
Object FNA
FNA is the IATA airport code for Lungi International Airport, the main international gateway serving Freetown, Sierra Leone.
E1084872 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: FNA | Statement: [Lungi International Airport, IATAcode, FNA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FNA
Context triple: [Lungi International Airport, IATAcode, FNA]
  • A. FNA
    FNA is a prestigious scientific honorific title awarded to elected Fellows of the Indian National Science Academy.
  • B. FNL
    FNL is the IATA airport code for Fort Collins-Loveland Municipal Airport serving the Fort Collins and Loveland area in Colorado, USA.
  • C. FNI
    FNI is the IATA airport code for Nîmes-Alès-Camargue-Cévennes Airport in southern France.
  • D. FNH
    FNH is the National Rail station code for Farnham railway station in Surrey, England.
  • E. NFNA
    NFNA is the ICAO airport code assigned to Nausori International Airport in Fiji.
  • 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: FNA
Triple: [Lungi International Airport, IATAcode, FNA]
Generated description
FNA is the IATA airport code for Lungi International Airport, the main international gateway serving Freetown, Sierra Leone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FNA
Target entity description: FNA is the IATA airport code for Lungi International Airport, the main international gateway serving Freetown, Sierra Leone.
  • A. FNA
    FNA is a prestigious scientific honorific title awarded to elected Fellows of the Indian National Science Academy.
  • B. FNL
    FNL is the IATA airport code for Fort Collins-Loveland Municipal Airport serving the Fort Collins and Loveland area in Colorado, USA.
  • C. FNI
    FNI is the IATA airport code for Nîmes-Alès-Camargue-Cévennes Airport in southern France.
  • D. FNH
    FNH is the National Rail station code for Farnham railway station in Surrey, England.
  • E. NFNA
    NFNA is the ICAO airport code assigned to Nausori International Airport in Fiji.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e1fbd48190a4864fa4443f8f29 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194b32d88190aa74eef576152db3 completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1ab3f83881908113259c23fe1028 completed May 7, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_69fd1b87a0c48190a68367525ed9d2cb completed May 7, 2026, 11:08 p.m.
Created at: April 10, 2026, 1:04 a.m.