Triple

T6600265
Position Surface form Disambiguated ID Type / Status
Subject KMCO E148978 entity
Predicate metropolitanAreaServed P5322 FINISHED
Object Orlando metropolitan area E156309 NE FINISHED

How this triple was built (3 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: Orlando metropolitan area | Statement: [KMCO, metropolitanAreaServed, Orlando metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orlando metropolitan area
Context triple: [KMCO, metropolitanAreaServed, Orlando metropolitan area]
  • A. Orlando–Kissimmee–Sanford metropolitan area chosen
    The Orlando–Kissimmee–Sanford metropolitan area is a major Central Florida urban region centered on Orlando, known for its tourism industry, theme parks, and rapidly growing population.
  • B. Sarasota–Bradenton metropolitan area
    The Sarasota–Bradenton metropolitan area is a coastal urban region on Florida’s Gulf Coast known for its beaches, cultural attractions, and rapidly growing population centered around the cities of Sarasota and Bradenton.
  • C. Orlando
    Orlando is a major city in central Florida known for its theme parks, tourism industry, and entertainment attractions.
  • D. Orlando
    Orlando is a common Italian surname borne by numerous individuals, including notable political and cultural figures.
  • E. Orlando
    Orlando is the Italian literary counterpart of the medieval knight Roland, best known as the chivalric hero of epic poems such as "Orlando Furioso."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: metropolitanAreaServed
Context triple: [KMCO, metropolitanAreaServed, Orlando metropolitan area]
  • A. servedCity
    Indicates that a service, route, or facility operates in, reaches, or is available to a particular city.
  • B. operatesInMetropolitanArea chosen
    Indicates that an entity conducts its activities or provides its services within a specified metropolitan area.
  • C. cityServedRegion
    Indicates that a city provides services to, or functions as an administrative or economic center for, a specified region.
  • D. areaServed
    Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
  • E. metropolitanAreaWith
    Indicates that one entity is a metropolitan area that includes, is associated with, or encompasses the other entity.
  • F. None of above.

Provenance (4 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6cc9c6cb0819084fec8e0beb430de completed March 27, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eee20e1081908415cb505652b03f completed March 27, 2026, 8:56 p.m.
PD Predicate disambiguation batch_69c6acfd17388190bd0bb8b2371e7df1 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:56 p.m.