Triple

T3021688
Position Surface form Disambiguated ID Type / Status
Subject Eben E82472 entity
Predicate administrativeHierarchyLevel P275 FINISHED
Object subdivision of town 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: subdivision of town | Statement: [Eben, administrativeHierarchyLevel, subdivision of town]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administrativeHierarchyLevel
Context triple: [Eben, administrativeHierarchyLevel, subdivision of town]
  • A. hasDivisionLevel chosen
    Indicates that one entity is associated with a specific hierarchical or organizational division level of another entity.
  • B. governingBodyLevel
    Indicates the hierarchical level or tier at which a governing body operates within a political or organizational structure.
  • C. designationLevel
    Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
  • D. jurisdictionLevel
    Indicates the scope or tier of authority under which an entity or action is legally governed or regulated.
  • E. legalHierarchyRank
    Indicates the relative position or level of authority an entity holds within a legal or judicial hierarchy.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a951e688190b3e35909affd3bfd completed March 8, 2026, 3:49 p.m.
PD Predicate disambiguation batch_69ad961c430c8190ac48f2e3c7e7c649 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3 p.m.