Triple

T294579
Position Surface form Disambiguated ID Type / Status
Subject New York and New Jersey campaign E6064 entity
Predicate outcomeForBritish P1421 FINISHED
Object control of New York City as major base 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: control of New York City as major base | Statement: [New York and New Jersey campaign, outcomeForBritish, control of New York City as major base]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: outcomeForBritish
Context triple: [New York and New Jersey campaign, outcomeForBritish, control of New York City as major base]
  • A. hasBritishAccent
    Indicates that the subject speaks with a British accent.
  • B. historicalOutcome chosen
    Indicates the result or consequence that an event, action, or situation produced in a historical context.
  • C. resultDetermination
    Indicates the process or criteria by which an outcome, decision, or result is established or concluded from given inputs or conditions.
  • D. broughtUnderBritishCrown
    Indicates that an entity was placed under the authority, control, or sovereignty of the British Crown.
  • E. supportsOutcome
    Indicates that one entity contributes to enabling, sustaining, or improving the achievement of a particular outcome associated with another 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e9e273f88190ac5355d1310376ed completed Feb. 28, 2026, 1:13 p.m.
PD Predicate disambiguation batch_69a2e9368894819093eeae4347dfcc5a completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.