Triple

T30069177
Position Surface form Disambiguated ID Type / Status
Subject Harburg line E764127 entity
Predicate hasTerritorialSubdivisionType P188433 FINISHED
Object principality 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: principality | Statement: [Harburg line, hasTerritorialSubdivisionType, principality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTerritorialSubdivisionType
Context triple: [Harburg line, hasTerritorialSubdivisionType, principality]
  • A. hasSubdivision
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • B. hasNationalSubdivisionType
    Indicates that an entity is associated with a specific type or category of national-level administrative subdivision (e.g., state, province, region).
  • C. hasHigherLevelSubdivisionType
    Indicates that one administrative or territorial subdivision type is hierarchically above another within a broader organizational structure.
  • D. hasHigherLevelSubdivision
    Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
  • E. hasSubdivisionCode
    Indicates that an entity is associated with a specific code identifying one of its internal subdivisions (such as a state, province, or region).
  • 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_69f2247221388190a13a22c47094a0ef completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fba78aca4c8190b8f1831e8cc04e06 completed May 6, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69fba34a65a4819088bac6c17542d71c completed May 6, 2026, 8:23 p.m.
PDg Predicate description generation batch_69fba789c1188190973a919bfe2871f3 completed May 6, 2026, 8:41 p.m.
Created at: April 29, 2026, 7 p.m.