Triple

T16404900
Position Surface form Disambiguated ID Type / Status
Subject Ōita Airport E398400 entity
Predicate IATAcode P418 FINISHED
Object OIT
OIT is the IATA airport code for Ōita Airport, a regional airport serving Ōita Prefecture in Japan.
 E1211730 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: OIT | Statement: [Ōita Airport, IATAcode, OIT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OIT
Context triple: [Ōita Airport, IATAcode, OIT]
  • A. OIT
    OIT is a public polytechnic university in Oregon known for its hands-on, technology-focused degree programs and strong industry partnerships.
  • B. OITT
    OITT is the ICAO airport code for Tabriz International Airport in Tabriz, Iran.
  • C. OII
    OII is the stock ticker symbol for Oceaneering International, an engineering and applied technology company specializing in subsea services and products for the offshore energy industry.
  • D. OIR
    OIR is the regulatory agency responsible for overseeing and enforcing insurance laws and market conduct in the state of Florida.
  • E. OIOS
    OIOS is the United Nations’ internal oversight body responsible for auditing, investigating, and evaluating the organization’s operations to ensure accountability and efficiency.
  • 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: OIT
Triple: [Ōita Airport, IATAcode, OIT]
Generated description
OIT is the IATA airport code for Ōita Airport, a regional airport serving Ōita Prefecture in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OIT
Target entity description: OIT is the IATA airport code for Ōita Airport, a regional airport serving Ōita Prefecture in Japan.
  • A. OIT
    OIT is a public polytechnic university in Oregon known for its hands-on, technology-focused degree programs and strong industry partnerships.
  • B. OITT
    OITT is the ICAO airport code for Tabriz International Airport in Tabriz, Iran.
  • C. OII
    OII is the stock ticker symbol for Oceaneering International, an engineering and applied technology company specializing in subsea services and products for the offshore energy industry.
  • D. OIR
    OIR is the regulatory agency responsible for overseeing and enforcing insurance laws and market conduct in the state of Florida.
  • E. OIOS
    OIOS is the United Nations’ internal oversight body responsible for auditing, investigating, and evaluating the organization’s operations to ensure accountability and efficiency.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d1f16481909adb19dab86dcc72 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6094e481909aa7402fd17fedae completed May 10, 2026, 8:05 a.m.
NEDg Description generation batch_6a003dd7e9d481908822da391112eb39 completed May 10, 2026, 8:12 a.m.
NED2 Entity disambiguation (via description) batch_6a003eb6aa748190b0c8866af405794a completed May 10, 2026, 8:15 a.m.
Created at: April 10, 2026, 5:09 a.m.