Triple

T2989862
Position Surface form Disambiguated ID Type / Status
Subject O-Town E80721 entity
Predicate associatedWith P37 FINISHED
Object Orlando metropolitan area E156309 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: Orlando metropolitan area | Statement: [O-Town, associatedWith, Orlando metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orlando metropolitan area
Context triple: [O-Town, associatedWith, 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 a historic township area within Soweto, South Africa, known for its central role in the anti-apartheid struggle and vibrant local culture.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99dcdb00819092ca5f10396408e0 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b324da09888190b3ea7763d3a09d5d completed March 12, 2026, 8:40 p.m.
Created at: March 8, 2026, 2:59 p.m.