Triple

T3646234
Position Surface form Disambiguated ID Type / Status
Subject VP Records E77308 entity
Predicate hasOfficeIn P1268 FINISHED
Object Kingston, Jamaica E309915 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: Kingston, Jamaica | Statement: [VP Records, hasOfficeIn, Kingston, Jamaica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingston, Jamaica
Context triple: [VP Records, hasOfficeIn, Kingston, Jamaica]
  • A. Kingston, Jamaica chosen
    Kingston, Jamaica is the capital and largest city of Jamaica, serving as the country’s political, cultural, and economic center and a major Caribbean port.
  • B. Montego Bay, Jamaica
    Montego Bay, Jamaica is a major Caribbean resort city and port on Jamaica’s north coast, known for its tourism, beaches, and role in international diplomacy.
  • C. Kingston
    Kingston is the largest city of Jamaica and its political, cultural, and economic center.
  • D. Kingston
    Kingston is a coastal town in Plymouth County, Massachusetts, known for its historic New England character and proximity to Cape Cod Bay.
  • E. Kingston
    Kingston is a small waterfront community in Washington State known as a ferry terminal town on the Kitsap Peninsula.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3895198819090a17a8894e91d00 completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48836f5d08190bbf0b6410ed6f766 completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:24 p.m.