Triple

T7605342
Position Surface form Disambiguated ID Type / Status
Subject Akron Fulton International Airport E180088 entity
Predicate operator P179 FINISHED
Object City of Akron E27222 NE FINISHED

How this triple was built (2 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: City of Akron | Statement: [Akron Fulton International Airport, operator, City of Akron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Akron
Context triple: [Akron Fulton International Airport, operator, City of Akron]
  • A. City of Lorain
    The City of Lorain is an industrial and port city on Lake Erie in northern Ohio, known for its steelmaking history and diverse waterfront community.
  • B. Lithopolis, Ohio
    Lithopolis, Ohio is a small village in central Ohio known for its historic charm and annual Honeyfest, located southeast of Columbus.
  • C. Akron chosen
    Akron is an industrial city in northeastern Ohio known historically for its rubber and tire manufacturing industry.
  • D. Newark, Ohio
    Newark, Ohio is a mid-sized city in central Ohio known as the county seat of Licking County and a regional hub for industry, education, and transportation.
  • E. Clyde, Ohio
    Clyde, Ohio is a small city in Sandusky County best known as the childhood home and inspiration for many works of American writer Sherwood Anderson.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fcfcfc8190a29a0b5cd3e8927a completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a20f6a288190befdc1063e4aa72c completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:54 p.m.