Triple

T22424895
Position Surface form Disambiguated ID Type / Status
Subject Brindisini E554342 entity
Predicate associatedWithHistoricalRole P87595 FINISHED
Object maritime trade 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: maritime trade | Statement: [Brindisini, associatedWithHistoricalRole, maritime trade]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithHistoricalRole
Context triple: [Brindisini, associatedWithHistoricalRole, maritime trade]
  • A. hasHistoricalRoleAs
    Indicates that an entity has served in a specific historical capacity, function, or position during a particular period or context.
  • B. associatedWithHistoricalState
    Indicates that an entity has a relationship or connection to a specific historical state or former political entity.
  • C. hasNamesakeRoleInHistory
    Indicates that an entity has a historical role or position that is the same as, or named after, another entity’s role in history.
  • D. roleHistoricallyAssociatedWith chosen
    Indicates that one role, position, or function has been historically linked or commonly associated with another entity, role, or context over time.
  • E. reflectsHistoricalAssociationWith
    Indicates a relationship in which one entity shows or embodies a connection, link, or relevance to another entity based on past events, contexts, or historical ties.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2c47bc81908b8265d83fa6fb65 completed April 29, 2026, 1:09 a.m.
PD Predicate disambiguation batch_69e898a327948190beee5e168006a0a7 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:47 p.m.