Triple

T1539912
Position Surface form Disambiguated ID Type / Status
Subject John Wayne Airport E32840 entity
Predicate IATAcode P418 FINISHED
Object SNA
SNA is the IATA airport code for John Wayne Airport, a commercial and general aviation airport serving Orange County, California.
E176696 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: SNA | Statement: [John Wayne Airport, IATAcode, SNA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNA
Context triple: [John Wayne Airport, IATAcode, SNA]
  • A. SAN
    SAN is the three-letter IATA airport code for San Diego International Airport, the primary commercial airport serving the San Diego, California area.
  • B. SN
    SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
  • C. SAM
    SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
  • D. NS
    NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
  • E. NS
    NS (Nederlandse Spoorwegen) is the principal Dutch railway company responsible for most passenger train services in the Netherlands.
  • 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: SNA
Triple: [John Wayne Airport, IATAcode, SNA]
Generated description
SNA is the IATA airport code for John Wayne Airport, a commercial and general aviation airport serving Orange County, California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SNA
Target entity description: SNA is the IATA airport code for John Wayne Airport, a commercial and general aviation airport serving Orange County, California.
  • A. SAN
    SAN is the three-letter IATA airport code for San Diego International Airport, the primary commercial airport serving the San Diego, California area.
  • B. SN
    SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
  • C. SAM
    SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
  • D. NS
    NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
  • E. NS
    NS (Nederlandse Spoorwegen) is the principal Dutch railway company responsible for most passenger train services in the Netherlands.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9083c942481909168394b6674d82b completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30997d408190916f16d31bcc35b4 completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad31167b748190bbb73d7369570ada completed March 8, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69ad31b5ce308190ba34123a4c8b8188 completed March 8, 2026, 8:22 a.m.
Created at: March 4, 2026, 7:26 p.m.