Triple

T13025200
Position Surface form Disambiguated ID Type / Status
Subject Şırnak E326285 entity
Predicate hasAirportIATA P2569 FINISHED
Object NKT
NKT is the IATA airport code for the main airport serving Şırnak in southeastern Turkey.
E1014993 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: NKT | Statement: [Şırnak, hasAirportIATA, NKT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NKT
Context triple: [Şırnak, hasAirportIATA, NKT]
  • A. NKT
    NKT is the IATA airport code for Marine Corps Air Station Cherry Point, a major United States Marine Corps airfield in North Carolina.
  • B. NKG
    NKG is the IATA airport code for Nanjing Lukou International Airport, the main commercial airport serving Nanjing in eastern China.
  • C. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • D. NK
    NK is the station code for Nashik Road railway station, a major rail hub serving the city of Nashik in Maharashtra, India.
  • E. NK
    NK is the vehicle registration code used on license plates for the Neunkirchen district in Germany.
  • 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: NKT
Triple: [Şırnak, hasAirportIATA, NKT]
Generated description
NKT is the IATA airport code for the main airport serving Şırnak in southeastern Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NKT
Target entity description: NKT is the IATA airport code for the main airport serving Şırnak in southeastern Turkey.
  • A. NKT
    NKT is the IATA airport code for Marine Corps Air Station Cherry Point, a major United States Marine Corps airfield in North Carolina.
  • B. NKG
    NKG is the IATA airport code for Nanjing Lukou International Airport, the main commercial airport serving Nanjing in eastern China.
  • C. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • D. NK
    NK is the station code for Nashik Road railway station, a major rail hub serving the city of Nashik in Maharashtra, India.
  • E. NK
    NK is the vehicle registration code used on license plates for the Neunkirchen district in Germany.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efac71881908a21d70c3c6ce099 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11c1f6c8190be1c570a7e44a313 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c20aff008190a1a10ac02ed08726 completed May 3, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6c2de143c81908164f5df2b92e5c3 completed May 3, 2026, 3:37 a.m.
Created at: April 9, 2026, 8:53 p.m.