Triple

T34290310
Position Surface form Disambiguated ID Type / Status
Subject MidAmerica Airport E879868 entity
Predicate hasTypeInNPIAS P44220 FINISHED
Object primary commercial service airport LITERAL 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: primary commercial service airport | Statement: [MidAmerica Airport, hasTypeInNPIAS, primary commercial service airport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeInNPIAS
Context triple: [MidAmerica Airport, hasTypeInNPIAS, primary commercial service airport]
  • A. NPIAS category chosen
    Indicates the classification of an airport within the National Plan of Integrated Airport Systems, specifying its role and priority in the national airport system.
  • B. isInNP
    Indicates that one entity is located within, or is a member of, a specified noun phrase (NP) in a syntactic or semantic structure.
  • C. NPIAS role
    Indicates the specific function or capacity an airport serves within the National Plan of Integrated Airport Systems (NPIAS), such as its designated role in the national aviation network.
  • D. isTypeOfAreaWithin
    Indicates that one area is a specific type or category of area that exists within another, larger area.
  • E. isPartOfRegionType
    Indicates that one region belongs to, or is classified under, a broader region type or category.
  • F. None of above.

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_69f349b6df1c81908e5e5b6c2ab6409b completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ff2636e2bc8190bba91eff91431c6e completed May 9, 2026, 12:19 p.m.
PD Predicate disambiguation batch_69ff25c65be48190868480d94e1c4e89 completed May 9, 2026, 12:17 p.m.
Created at: May 1, 2026, 1:57 a.m.