Triple

T13968238
Position Surface form Disambiguated ID Type / Status
Subject Aiken Regional Airport E335982 entity
Predicate hasFAAIdentifier P420 FINISHED
Object AIK
AIK is the FAA location identifier for Aiken Regional Airport in South Carolina, United States.
E1072191 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: AIK | Statement: [Aiken Regional Airport, hasFAAIdentifier, AIK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AIK
Context triple: [Aiken Regional Airport, hasFAAIdentifier, AIK]
  • A. AIK
    AIK is a major Swedish sports club from Stockholm best known for its successful football team competing in the country’s top division.
  • B. AIK IF
    AIK IF is a Swedish ice hockey club based in Stockholm, known as one of the country’s most prominent and historic teams.
  • C. AIC
    AIC is the ICAO airline designator used to identify Air India in international aviation operations and communications.
  • D. AIC
    AIC is the collective term for Australia’s national intelligence agencies responsible for gathering, assessing, and disseminating security and foreign intelligence.
  • E. AIU
    AIU (Association of Indian Universities) is a national organization in India that represents and coordinates the activities of universities, promoting higher education standards and inter-university collaboration.
  • 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: AIK
Triple: [Aiken Regional Airport, hasFAAIdentifier, AIK]
Generated description
AIK is the FAA location identifier for Aiken Regional Airport in South Carolina, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AIK
Target entity description: AIK is the FAA location identifier for Aiken Regional Airport in South Carolina, United States.
  • A. AIK
    AIK is a major Swedish sports club from Stockholm best known for its successful football team competing in the country’s top division.
  • B. AIK IF
    AIK IF is a Swedish ice hockey club based in Stockholm, known as one of the country’s most prominent and historic teams.
  • C. AIC
    AIC is the ICAO airline designator used to identify Air India in international aviation operations and communications.
  • D. AIC
    AIC is the collective term for Australia’s national intelligence agencies responsible for gathering, assessing, and disseminating security and foreign intelligence.
  • E. AIU
    AIU (Association of Indian Universities) is a national organization in India that represents and coordinates the activities of universities, promoting higher education standards and inter-university collaboration.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8daeac8190aadd4b3b60222482 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1da70588190a6c9a3895d92be5b completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba74a96b08190a08c51c231e49e5d completed May 6, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69fba8585fb08190998d6a005dc0bd31 completed May 6, 2026, 8:45 p.m.
Created at: April 9, 2026, 10:18 p.m.