Triple

T5843145
Position Surface form Disambiguated ID Type / Status
Subject Mobile County E129640 entity
Predicate hasAirport P105 FINISHED
Object Mobile Regional Airport E98108 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: Mobile Regional Airport | Statement: [Mobile County, hasAirport, Mobile Regional Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mobile Regional Airport
Context triple: [Mobile County, hasAirport, Mobile Regional Airport]
  • A. Mobile Regional Airport chosen
    Mobile Regional Airport is a public airport serving commercial and general aviation traffic for the Mobile, Alabama metropolitan area.
  • B. Mobile Airport Authority
    Mobile Airport Authority is the public agency responsible for operating and managing the airport system serving the Mobile, Alabama area.
  • C. Mobile Downtown Airport
    Mobile Downtown Airport is a public airport serving the city of Mobile and the surrounding region in Alabama, primarily handling general aviation and some commercial and cargo operations.
  • D. Airports of Regions
    Airports of Regions is a Russian airport management company that operates and develops several regional airports across Russia.
  • E. Mobile metropolitan area
    The Mobile metropolitan area is a regional urban and economic hub in southwestern Alabama centered on the city of Mobile and its surrounding counties.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034d9da0c8190970319d0dc2fc73f completed March 22, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1a2506481908a3e638c1121bfd0 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.