Triple

T7919104
Position Surface form Disambiguated ID Type / Status
Subject Alghero-Fertilia Airport E183898 entity
Predicate IATAcode P418 FINISHED
Object AHO
AHO is the IATA airport code for Alghero-Fertilia Airport, a commercial airport serving the city of Alghero and the surrounding region in Sardinia, Italy.
 E696985 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: AHO | Statement: [Alghero-Fertilia Airport, IATAcode, AHO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AHO
Context triple: [Alghero-Fertilia Airport, IATAcode, AHO]
  • A. Aho
    Aho is the surname of Alfred V. Aho, a prominent computer scientist known for his foundational work in algorithms, programming languages, and compiler design.
  • B. Aahoo
    Aahoo is the Persian birth name of American actress and former NFL cheerleader Sarah Shahi.
  • C. Backus
    Backus is a surname most notably associated with John Backus, the American computer scientist who led the development of the Fortran programming language.
  • D. Earley
    Earley is a suburban town in Berkshire, England, situated near Reading and known for its residential character and proximity to major transport links.
  • E. Ahoada
    Ahoada is a prominent town and administrative center in southern Nigeria, located in the oil-rich Niger Delta region.
  • 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: AHO
Triple: [Alghero-Fertilia Airport, IATAcode, AHO]
Generated description
AHO is the IATA airport code for Alghero-Fertilia Airport, a commercial airport serving the city of Alghero and the surrounding region in Sardinia, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AHO
Target entity description: AHO is the IATA airport code for Alghero-Fertilia Airport, a commercial airport serving the city of Alghero and the surrounding region in Sardinia, Italy.
  • A. Aho
    Aho is the surname of Alfred V. Aho, a prominent computer scientist known for his foundational work in algorithms, programming languages, and compiler design.
  • B. Aahoo
    Aahoo is the Persian birth name of American actress and former NFL cheerleader Sarah Shahi.
  • C. Backus
    Backus is a surname most notably associated with John Backus, the American computer scientist who led the development of the Fortran programming language.
  • D. Earley
    Earley is a suburban town in Berkshire, England, situated near Reading and known for its residential character and proximity to major transport links.
  • E. Ahoada
    Ahoada is a prominent town and administrative center in southern Nigeria, located in the oil-rich Niger Delta region.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a9173548190a04889726f7b251f completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5beea7988190972f7d02881d98f6 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f20eb3c81909e059d5a02263aa2 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76bb9a308190a9d7b34838d696db completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:05 p.m.