Triple

T34819371
Position Surface form Disambiguated ID Type / Status
Subject Tariff of 1842 E1003724 entity
Predicate hasSuccessorPolicy P147537 FINISHED
Object revenue-oriented Walker Tariff of 1846 NE NERFINISHED

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: revenue-oriented Walker Tariff of 1846 | Statement: [Tariff of 1842, hasSuccessorPolicy, revenue-oriented Walker Tariff of 1846]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSuccessorPolicy
Context triple: [Tariff of 1842, hasSuccessorPolicy, revenue-oriented Walker Tariff of 1846]
  • A. hasSuccessors
    Indicates that an entity is followed or replaced by one or more subsequent entities in a sequence, process, or lineage.
  • B. successorInPolicy chosen
    Indicates that one policy directly follows and replaces another in a sequence or hierarchy of policies.
  • C. hasOnlineSuccessor
    Indicates that one entity is the direct online or digital successor of another, typically replacing or continuing its function in an online context.
  • D. hasSuccessorScheme
    Indicates that one scheme is the direct successor or follow-up to another scheme in a sequence or versioning relationship.
  • E. hasCurrentSuccessor
    Indicates that one entity is the immediate next or following entity in a current, ordered sequence or progression of 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_69f76db717088190811b4e744610f37d completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69ffa9677be08190852c8ef6c2545fed completed May 9, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69ffa6570e2c8190a9d7b37f12b91d9a completed May 9, 2026, 9:25 p.m.
Created at: May 3, 2026, 4 p.m.