Triple

T48942
Position Surface form Disambiguated ID Type / Status
Subject Tea Act E961 entity
Predicate taxType P3166 FINISHED
Object indirect tax on tea consumption in the colonies 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: indirect tax on tea consumption in the colonies | Statement: [Tea Act, taxType, indirect tax on tea consumption in the colonies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: taxType
Context triple: [Tea Act, taxType, indirect tax on tea consumption in the colonies]
  • A. taxId
    Indicates that an entity is associated with a specific taxonomic identifier used to uniquely reference its position in a taxonomic classification system.
  • B. settlementType
    Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
  • C. crossType
    Indicates a relationship where one entity intersects, passes over, or traverses another, typically implying movement or extension across a boundary, area, or medium.
  • D. regionType
    Indicates the classification or category of a region, specifying what kind of region it is (e.g., administrative, geographic, or functional).
  • E. obligationType
    Indicates the specific kind or category of duty, requirement, or commitment that applies within an obligation relationship.
  • F. None of above. chosen

Provenance (4 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24c1a5c14819088748317a3f262c8 completed Feb. 28, 2026, 1:59 a.m.
PD Predicate disambiguation batch_69a24abfa7bc8190932c137a823efcb6 completed Feb. 28, 2026, 1:54 a.m.
PDg Predicate description generation batch_69a24c198e74819088a211001d0b54d4 completed Feb. 28, 2026, 1:59 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.