Triple

T22325564
Position Surface form Disambiguated ID Type / Status
Subject Perm International Airport E551892 entity
Predicate hasIATACode P2569 FINISHED
Object PEE
PEE is the IATA airport code for Perm International Airport, a major air transport hub serving the city of Perm in Russia.
 E1531215 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: PEE | Statement: [Perm International Airport, hasIATACode, PEE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PEE
Context triple: [Perm International Airport, hasIATACode, PEE]
  • A. PEA
    PEA is an Italian film production and distribution company known for its role in European cinema.
  • B. PEEN
    PEEN is a continent-wide ecological network initiative aimed at connecting and conserving natural habitats and biodiversity across Europe.
  • C. PEP
    PEP is the stock ticker symbol for PepsiCo, the multinational food, snack, and beverage corporation traded on the NASDAQ.
  • D. PNE
    PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
  • E. PNE
    PNE is the National Rail station code for Penge East railway station in south London, England.
  • 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: PEE
Triple: [Perm International Airport, hasIATACode, PEE]
Generated description
PEE is the IATA airport code for Perm International Airport, a major air transport hub serving the city of Perm in Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PEE
Target entity description: PEE is the IATA airport code for Perm International Airport, a major air transport hub serving the city of Perm in Russia.
  • A. PEA
    PEA is an Italian film production and distribution company known for its role in European cinema.
  • B. PEEN
    PEEN is a continent-wide ecological network initiative aimed at connecting and conserving natural habitats and biodiversity across Europe.
  • C. PEP
    PEP is the stock ticker symbol for PepsiCo, the multinational food, snack, and beverage corporation traded on the NASDAQ.
  • D. PNE
    PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
  • E. PNE
    PNE is the National Rail station code for Penge East railway station in south London, England.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15768696481909be124e86c23d551 completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad520b1c081908fd6de0de24e2d87 completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad992b43c8190b0e409d64db83308 completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0adac48bec8190989dd7c5e28d283a completed May 18, 2026, 9:24 a.m.
Created at: April 16, 2026, 8:42 p.m.