Triple

T30930800
Position Surface form Disambiguated ID Type / Status
Subject Kontor of Novgorod E787986 entity
Predicate hadCustoms P170313 FINISHED
Object separate weighing and measuring regulations 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: separate weighing and measuring regulations | Statement: [Kontor of Novgorod, hadCustoms, separate weighing and measuring regulations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadCustoms
Context triple: [Kontor of Novgorod, hadCustoms, separate weighing and measuring regulations]
  • A. customs
    Indicates that an entity is responsible for regulating, inspecting, or processing goods and people as they cross a border for legal and tax purposes.
  • B. hasCustomsAndImmigration
    Indicates that customs and immigration control services are present or provided at a given location or facility.
  • C. hasCustomsCheckpoint
    Indicates that a location or route includes an official customs inspection point where goods, vehicles, or people are checked for compliance with border regulations.
  • D. hasCustomsAgency
    Indicates that an entity is associated with or overseen by a specific customs agency responsible for regulating and controlling cross-border goods and related activities.
  • E. hadCustom
    Indicates that an entity previously possessed or was associated with a customized or user-defined version of something.
  • 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_69f224c0b7fc819090cb89df60d23653 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f692e0113c8190b5b207b7e5182ee0 completed May 3, 2026, 12:12 a.m.
PD Predicate disambiguation batch_69f68b7ec098819080480998038de940 completed May 2, 2026, 11:40 p.m.
PDg Predicate description generation batch_69f68c517f308190873c1c7e05a0c6d0 completed May 2, 2026, 11:44 p.m.
Created at: April 29, 2026, 8:52 p.m.