Triple

T22746510
Position Surface form Disambiguated ID Type / Status
Subject Kenai Municipal Airport E562568 entity
Predicate hasIATACode P2569 FINISHED
Object ENA
ENA is the IATA airport code for Kenai Municipal Airport in Kenai, Alaska, United States.
 E1552616 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: ENA | Statement: [Kenai Municipal Airport, hasIATACode, ENA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ENA
Context triple: [Kenai Municipal Airport, hasIATACode, ENA]
  • A. ENA
    ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
  • B. ENE
    ENE was the stock ticker symbol for Enron Corporation, the American energy company infamous for its massive accounting fraud and subsequent 2001 bankruptcy.
  • C. ENO
    ENO is a major London-based opera company known for performing operas in English and making the art form widely accessible.
  • D. ANA
    ANA is the Portuguese company responsible for managing and operating the main airports in Portugal.
  • E. ANA
    ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
  • 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: ENA
Triple: [Kenai Municipal Airport, hasIATACode, ENA]
Generated description
ENA is the IATA airport code for Kenai Municipal Airport in Kenai, Alaska, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ENA
Target entity description: ENA is the IATA airport code for Kenai Municipal Airport in Kenai, Alaska, United States.
  • A. ENA
    ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
  • B. ENE
    ENE was the stock ticker symbol for Enron Corporation, the American energy company infamous for its massive accounting fraud and subsequent 2001 bankruptcy.
  • C. ENO
    ENO is a major London-based opera company known for performing operas in English and making the art form widely accessible.
  • D. ANA
    ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
  • E. ANA
    ANA is the Portuguese company responsible for managing and operating the main airports in Portugal.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b634b88190906edd92a971f921 completed April 29, 2026, 3:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fd41bcc81909e23e380bf834ca5 completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b93d4b8e08190a0542ffc42f12814 completed May 18, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_6a0b94bbb9c88190a7ab0937d1b398a5 completed May 18, 2026, 10:37 p.m.
Created at: April 17, 2026, 3:24 p.m.