Triple

T17211113
Position Surface form Disambiguated ID Type / Status
Subject Mobile County, Alabama E417731 entity
Predicate contains P35 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, Alabama, contains, Mobile Regional Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mobile Regional Airport
Context triple: [Mobile County, Alabama, contains, 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. Flight Facilities
    Flight Facilities is an Australian electronic music duo known for their smooth, retro-inspired dance tracks and collaborations with various vocalists.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc5a51481908d5ea0f9a1e9aa8b completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fe217308190b6ae1e98d0c421e4 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.