Triple

T7765049
Position Surface form Disambiguated ID Type / Status
Subject Philip S. W. Goldson International Airport E176122 entity
Predicate locatedIn P40 FINISHED
Object Ladyville E511669 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: Ladyville | Statement: [Philip S. W. Goldson International Airport, locatedIn, Ladyville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ladyville
Context triple: [Philip S. W. Goldson International Airport, locatedIn, Ladyville]
  • A. Ladyville chosen
    Ladyville is a suburban community in Belize that serves as a major residential area near Belize City and is known for its proximity to the country’s main international airport.
  • B. Snowville
    Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
  • C. Blissville
    Blissville is a small, historically industrial neighborhood in western Queens, New York City, known for its proximity to major rail yards and cemeteries.
  • D. Hattieville
    Hattieville is a village in Belize known for housing the country’s main prison and serving as a residential community near Belize City.
  • E. Darbyville
    Darbyville is the former name of the city now known as Macclenny in Baker County, Florida.
  • 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7043279748190b30882e9cc6cca54 completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7de604c81908f503e1553795d38 completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:09 p.m.