Triple

T13128959
Position Surface form Disambiguated ID Type / Status
Subject Marina Municipal Airport E311916 entity
Predicate IATA code P2569 FINISHED
Object OAR
OAR is the three-letter IATA airport code for Marina Municipal Airport in Marina, California.
 E1023277 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: OAR | Statement: [Marina Municipal Airport, IATA code, OAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OAR
Context triple: [Marina Municipal Airport, IATA code, OAR]
  • A. OAR
    OAR is the research arm of the U.S. National Oceanic and Atmospheric Administration that advances understanding and prediction of the ocean and atmosphere.
  • B. OAR
    OAR is the commonly used acronym for the U.S. Environmental Protection Agency’s Office of Air and Radiation, which oversees national efforts to protect and improve air quality and control radiation exposure.
  • C. OAR
    OAR is the commonly used abbreviation for the Oregon Administrative Rules, which comprise the codified regulations issued by Oregon’s state agencies.
  • D. AOR
    AOR is the IATA airport code for Sultan Abdul Halim Airport, which serves Alor Setar in the Malaysian state of Kedah.
  • E. ORU
    ORU is the IATA airport code for Juan Mendoza Airport, a regional airport serving the city of Oruro in Bolivia.
  • 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: OAR
Triple: [Marina Municipal Airport, IATA code, OAR]
Generated description
OAR is the three-letter IATA airport code for Marina Municipal Airport in Marina, California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OAR
Target entity description: OAR is the three-letter IATA airport code for Marina Municipal Airport in Marina, California.
  • A. OAR
    OAR is the commonly used acronym for the U.S. Environmental Protection Agency’s Office of Air and Radiation, which oversees national efforts to protect and improve air quality and control radiation exposure.
  • B. OAR
    OAR is the commonly used abbreviation for the Oregon Administrative Rules, which comprise the codified regulations issued by Oregon’s state agencies.
  • C. OAR
    OAR is the research arm of the U.S. National Oceanic and Atmospheric Administration that advances understanding and prediction of the ocean and atmosphere.
  • D. AOR
    AOR is the IATA airport code for Sultan Abdul Halim Airport, which serves Alor Setar in the Malaysian state of Kedah.
  • E. ORU
    ORU is the IATA airport code for Juan Mendoza Airport, a regional airport serving the city of Oruro in Bolivia.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819bfd348190a22d44f837877e1c completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28e922881909584296adc95d9b4 completed May 3, 2026, 5:52 a.m.
NEDg Description generation batch_69f6e6d4aedc819090e6433600db4b31 completed May 3, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_69f6e79e40bc8190bcf72d719d4e88dd completed May 3, 2026, 6:13 a.m.
Created at: April 9, 2026, 9:07 p.m.