Triple

T18316895
Position Surface form Disambiguated ID Type / Status
Subject Kasato Maru E438771 entity
Predicate immigrantDestinationRegion P195 FINISHED
Object coffee plantations in São Paulo state LITERAL 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: coffee plantations in São Paulo state | Statement: [Kasato Maru, immigrantDestinationRegion, coffee plantations in São Paulo state]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: immigrantDestinationRegion
Context triple: [Kasato Maru, immigrantDestinationRegion, coffee plantations in São Paulo state]
  • A. immigratedTo chosen
    Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
  • B. mainDeportationDestination
    Indicates the primary location to which individuals are deported in a given deportation event or process.
  • C. immigrationControlDestination
    Indicates the destination place or jurisdiction toward which immigration control measures or procedures are directed.
  • D. hasImmigrantCommunitiesFrom
    Indicates that a place or region contains established communities of people who have immigrated from a specified origin location.
  • E. hasSignificantEmigrationTo
    Indicates that a substantial number of people leave one place, group, or entity to move and settle in another specific place, group, or entity.
  • F. None of above.

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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021f5f1081909fd98c8fb786c7ff completed April 19, 2026, 4:26 p.m.
PD Predicate disambiguation batch_69e44fe4ee10819086b4142444fca1f5 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:36 a.m.