Triple

T13216186
Position Surface form Disambiguated ID Type / Status
Subject Taiyuan Wusu International Airport E314622 entity
Predicate IATAcode P418 FINISHED
Object TYN
TYN is the IATA airport code for Taiyuan Wusu International Airport, the main air gateway serving Taiyuan in Shanxi Province, China.
 E1028807 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: TYN | Statement: [Taiyuan Wusu International Airport, IATAcode, TYN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TYN
Context triple: [Taiyuan Wusu International Airport, IATAcode, TYN]
  • A. TYS
    TYS is the IATA airport code for McGhee Tyson Airport, the primary commercial airport serving Knoxville, Tennessee, and the surrounding region.
  • B. Ty
    Ty is the first name of American musician and songwriter Ty Segall, known for his prolific work in garage and psychedelic rock.
  • C. TY
    TY is the vehicle registration code used on license plates for County Tyrone in Northern Ireland.
  • D. Typer
    Typer is a modern, user-friendly Python library for building command-line interfaces, created by Sebastián Ramírez (tiangolo), that emphasizes type hints and automatic documentation.
  • E. Tyto
    Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
  • 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: TYN
Triple: [Taiyuan Wusu International Airport, IATAcode, TYN]
Generated description
TYN is the IATA airport code for Taiyuan Wusu International Airport, the main air gateway serving Taiyuan in Shanxi Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TYN
Target entity description: TYN is the IATA airport code for Taiyuan Wusu International Airport, the main air gateway serving Taiyuan in Shanxi Province, China.
  • A. TYS
    TYS is the IATA airport code for McGhee Tyson Airport, the primary commercial airport serving Knoxville, Tennessee, and the surrounding region.
  • B. Ty
    Ty is the first name of American musician and songwriter Ty Segall, known for his prolific work in garage and psychedelic rock.
  • C. TY
    TY is the vehicle registration code used on license plates for County Tyrone in Northern Ireland.
  • D. Typer
    Typer is a modern, user-friendly Python library for building command-line interfaces, created by Sebastián Ramírez (tiangolo), that emphasizes type hints and automatic documentation.
  • E. Tyto
    Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf28c9c819080d7b42d20f579d1 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff1ebf648190a27d11b3dc494446 completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f7013a368c8190a768f837f6551f5b completed May 3, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_69f7038563848190ae96538e30ecafd5 completed May 3, 2026, 8:12 a.m.
Created at: April 9, 2026, 9:18 p.m.