Triple

T294557
Position Surface form Disambiguated ID Type / Status
Subject New York and New Jersey campaign E6064 entity
Predicate belligerent P375 FINISHED
Object Hessian auxiliaries E19712 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: Hessian auxiliaries | Statement: [New York and New Jersey campaign, belligerent, Hessian auxiliaries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hessian auxiliaries
Context triple: [New York and New Jersey campaign, belligerent, Hessian auxiliaries]
  • A. Hessian auxiliaries chosen
    Hessian auxiliaries were German troops hired by the British Crown to fight against the American revolutionaries during the American Revolutionary War.
  • B. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • C. HMC
    HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
  • D. Achterhooks
    Achterhooks is a regional Low Saxon dialect spoken in the Achterhoek area of the eastern Netherlands.
  • E. HMT
    HMT is the commonly used abbreviation for HM Treasury, the United Kingdom government department responsible for economic and financial policy.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e978420881908488df342a7d5e90 completed Feb. 28, 2026, 1:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3a5d514388190ac0f748a406ae43e completed March 1, 2026, 2:35 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.