Triple

T5843792
Position Surface form Disambiguated ID Type / Status
Subject Newport Municipal Airport E129657 entity
Predicate ICAO code P419 FINISHED
Object KONP
KONP is the ICAO airport code for Newport Municipal Airport in Newport, Oregon, United States.
 E549920 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: KONP | Statement: [Newport Municipal Airport, ICAO code, KONP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KONP
Context triple: [Newport Municipal Airport, ICAO code, KONP]
  • A. KONT
    KONT is the ICAO airport code for Ontario International Airport, a major commercial airport serving the Inland Empire region of Southern California.
  • B. KUN
    KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • C. Kon
    Kon is a deity from Andean mythology often associated with rain, wind, and the fertilizing forces that sustain life in the region.
  • D. Kono
    Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
  • E. Kono
    Kono is a major Mande language spoken primarily in parts of West Africa, notably in Sierra Leone and neighboring regions.
  • 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: KONP
Triple: [Newport Municipal Airport, ICAO code, KONP]
Generated description
KONP is the ICAO airport code for Newport Municipal Airport in Newport, Oregon, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KONP
Target entity description: KONP is the ICAO airport code for Newport Municipal Airport in Newport, Oregon, United States.
  • A. KONT
    KONT is the ICAO airport code for Ontario International Airport, a major commercial airport serving the Inland Empire region of Southern California.
  • B. KUN
    KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • C. Kon
    Kon is a deity from Andean mythology often associated with rain, wind, and the fertilizing forces that sustain life in the region.
  • D. Kono
    Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
  • E. Kono
    Kono is a major Mande language spoken primarily in parts of West Africa, notably in Sierra Leone and neighboring regions.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034db104881908c230de0e869f64b completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1a6587c8190b76b1005178c29a9 completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a2bd6cdc819096c6829dc8d5d61e completed March 23, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69c0a323d9248190aa803c27be3d5eec completed March 23, 2026, 2:19 a.m.
Created at: March 22, 2026, 3:55 p.m.