Triple

T7061605
Position Surface form Disambiguated ID Type / Status
Subject Ziggy Marley E164229 entity
Predicate countryOfCitizenship P2 FINISHED
Object Jamaica E7421 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: Jamaica | Statement: [Ziggy Marley, countryOfCitizenship, Jamaica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamaica
Context triple: [Ziggy Marley, countryOfCitizenship, Jamaica]
  • A. Jamaica chosen
    Jamaica is a Caribbean island nation known for its vibrant culture, reggae music, and tropical landscapes.
  • B. Jamaica
    Jamaica is a major neighborhood and transportation hub in the borough of Queens, New York City, known for its busy commercial center and key rail connections, including the Long Island Rail Road and AirTrain to JFK Airport.
  • C. Jamaica
    Jamaica is a station on Mexico City’s metro system, serving as a key transfer point between multiple lines near the city’s central market area.
  • D. Trinidad and Tobago
    Trinidad and Tobago is a twin-island Caribbean nation known for its rich cultural diversity, vibrant Carnival celebrations, and significant oil and natural gas resources.
  • E. Barbados
    Barbados is an island country in the Caribbean known for its beaches, coral reefs, and status as a popular tourist destination.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e45b7488819094d2dd337731dab9 completed March 27, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7883f0d988190b170901aea57d360 completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:38 p.m.