Triple

T33018314
Position Surface form Disambiguated ID Type / Status
Subject Jiangjin, Sichuan, Qing Empire E844834 entity
Predicate taxationUnit P79121 FINISHED
Object county-level tax jurisdiction 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: county-level tax jurisdiction | Statement: [Jiangjin, Sichuan, Qing Empire, taxationUnit, county-level tax jurisdiction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: taxationUnit
Context triple: [Jiangjin, Sichuan, Qing Empire, taxationUnit, county-level tax jurisdiction]
  • A. taxingJurisdiction chosen
    Indicates the authority or region that has the legal power to impose and collect taxes on a given entity or transaction.
  • B. taxType
    Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
  • C. taxationMethod
    Indicates the specific way or system by which taxes are calculated, collected, or applied in a given context.
  • D. taxAuthority
    Indicates that an entity serves as the official body responsible for assessing, collecting, and enforcing taxes over another entity or within a jurisdiction.
  • E. taxId
    Indicates that an entity is associated with a specific taxonomic identifier used to uniquely reference its position in a taxonomic classification system.
  • 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_69f3494f3b4081909dccf2af34372a26 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d74b20a48190900dda1014cc13a8 completed May 3, 2026, 5:04 a.m.
PD Predicate disambiguation batch_69f6d26f27dc8190ae426a3e1573933e completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 1:23 a.m.