Triple

T4041320
Position Surface form Disambiguated ID Type / Status
Subject Addison Airport E83955 entity
Predicate IATA code P2569 FINISHED
Object ADS
ADS is the three-letter IATA airport code for Addison Airport, a general aviation airport serving the Dallas–Fort Worth area in Texas, United States.
 E408921 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: ADS | Statement: [Addison Airport, IATA code, ADS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ADS
Context triple: [Addison Airport, IATA code, ADS]
  • A. ADS
    ADS is the stock ticker symbol under which the global sportswear company Adidas is traded on the Frankfurt Stock Exchange.
  • B. ADS
    ADS is a widely used digital library and search platform for astronomy and astrophysics research literature maintained by the Smithsonian Astrophysical Observatory and NASA.
  • C. .ad
    .ad is the country code top-level domain (ccTLD) assigned to the Principality of Andorra for use in internet addresses.
  • D. AD
    AD is the commonly used abbreviation for the French political party Democratic Republican Alliance, a centrist-liberal force active during the Third Republic.
  • E. AD
    AD is a CERN facility that slows down antiprotons so they can be used in precision experiments studying antimatter.
  • 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: ADS
Triple: [Addison Airport, IATA code, ADS]
Generated description
ADS is the three-letter IATA airport code for Addison Airport, a general aviation airport serving the Dallas–Fort Worth area in Texas, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ADS
Target entity description: ADS is the three-letter IATA airport code for Addison Airport, a general aviation airport serving the Dallas–Fort Worth area in Texas, United States.
  • A. ADS
    ADS is the stock ticker symbol under which the global sportswear company Adidas is traded on the Frankfurt Stock Exchange.
  • B. ADS
    ADS is a widely used digital library and search platform for astronomy and astrophysics research literature maintained by the Smithsonian Astrophysical Observatory and NASA.
  • C. .ad
    .ad is the country code top-level domain (ccTLD) assigned to the Principality of Andorra for use in internet addresses.
  • D. AD
    AD is the commonly used abbreviation for the French political party Democratic Republican Alliance, a centrist-liberal force active during the Third Republic.
  • E. AD
    AD is a CERN facility that slows down antiprotons so they can be used in precision experiments studying antimatter.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb3a9314819095dcf47675eedb48 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55649b75c819086b272f56ac73be4 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b55a1974348190b6c8ca74fb9da47e completed March 14, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69b55a828d7881908e3e9a14bc77103c completed March 14, 2026, 12:54 p.m.
Created at: March 9, 2026, 3:37 p.m.