Triple

T519939
Position Surface form Disambiguated ID Type / Status
Subject Samuel Maverick E10791 entity
Predicate historicalEventContext P1409 FINISHED
Object tensions between American colonists and British troops in Boston 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: tensions between American colonists and British troops in Boston | Statement: [Samuel Maverick, historicalEventContext, tensions between American colonists and British troops in Boston]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalEventContext
Context triple: [Samuel Maverick, historicalEventContext, tensions between American colonists and British troops in Boston]
  • A. hasHistoricalEvent
    Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
  • B. historicalReference
    Indicates that one entity refers to, cites, or alludes to another entity from an earlier time or historical context.
  • C. hasHistoricalContext chosen
    Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
  • D. historicEventAlsoKnownAs
    Indicates that a historic event is referred to by an alternative name or alias.
  • E. historicalCategory
    Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or context.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1a00a6c8190a62dc7c901c2f2ff completed Feb. 28, 2026, 1:46 p.m.
PD Predicate disambiguation batch_69a2f016ba5c81909825b04e7525b4ab completed Feb. 28, 2026, 1:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.