Triple

T16382100
Position Surface form Disambiguated ID Type / Status
Subject Talkeetna Airport E397830 entity
Predicate IATA code P2569 FINISHED
Object TKA
TKA is the three-letter IATA airport code for Talkeetna Airport in Talkeetna, Alaska, a small regional hub often used for flightseeing tours to Denali.
 E1209566 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: TKA | Statement: [Talkeetna Airport, IATA code, TKA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TKA
Context triple: [Talkeetna Airport, IATA code, TKA]
  • A. TKA
    TKA is a regional vehicle registration code used on license plates for cars registered in the Kazimierza Wielka area of Poland.
  • B. THA
    THA is the three-letter ISO 3166-1 alpha-3 country code representing Thailand.
  • C. THA
    THA is the National Rail station code for Thatcham railway station in Berkshire, England.
  • D. TKR
    TKR is the abbreviated name of the People's Security Army, a military or paramilitary organization associated with internal security and defense.
  • E. TAK
    TAK is a Kurdish militant organization known for carrying out urban terrorist attacks in Turkey, often seen as a hardline offshoot or affiliate of the PKK.
  • 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: TKA
Triple: [Talkeetna Airport, IATA code, TKA]
Generated description
TKA is the three-letter IATA airport code for Talkeetna Airport in Talkeetna, Alaska, a small regional hub often used for flightseeing tours to Denali.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TKA
Target entity description: TKA is the three-letter IATA airport code for Talkeetna Airport in Talkeetna, Alaska, a small regional hub often used for flightseeing tours to Denali.
  • A. TKA
    TKA is a regional vehicle registration code used on license plates for cars registered in the Kazimierza Wielka area of Poland.
  • B. THA
    THA is the three-letter ISO 3166-1 alpha-3 country code representing Thailand.
  • C. THA
    THA is the National Rail station code for Thatcham railway station in Berkshire, England.
  • D. TKR
    TKR is the abbreviated name of the People's Security Army, a military or paramilitary organization associated with internal security and defense.
  • E. TAK
    TAK is a Kurdish militant organization known for carrying out urban terrorist attacks in Turkey, often seen as a hardline offshoot or affiliate of the PKK.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319dd0e0c8190812bde6a2f7d9644 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035689ef08190ba980a359498ca56 completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a00363c50848190a6a3d692cbe07cd0 completed May 10, 2026, 7:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0036e53f2c81908f04a5e51870040c completed May 10, 2026, 7:42 a.m.
Created at: April 10, 2026, 5:08 a.m.