Triple

T36463476
Position Surface form Disambiguated ID Type / Status
Subject Main-Rhön E898360 entity
Predicate belongsToPlanningSystem P63005 FINISHED
Object Bavarian regional planning system 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: Bavarian regional planning system | Statement: [Main-Rhön, belongsToPlanningSystem, Bavarian regional planning system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToPlanningSystem
Context triple: [Main-Rhön, belongsToPlanningSystem, Bavarian regional planning system]
  • A. hasPlanningAssociation chosen
    Indicates a relationship where one entity is involved with, linked to, or considered in the planning or preparation activities of another entity.
  • B. usedPlanningSystem
    Indicates that an entity employed a particular planning system or methodology to carry out its planning activities.
  • C. planningSystem
    Indicates that an entity functions as or is associated with a system responsible for organizing, scheduling, or coordinating plans or activities.
  • D. belongsToAdministrativeSystem
    Indicates that one entity is part of, or under the jurisdiction of, a particular administrative system or framework.
  • E. hasRelatedPlan
    Indicates that one entity is associated with another entity through a plan that is relevant or connected to it.
  • 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_69f76e58ebd88190b75d9b169b59d793 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ffe12ee59c8190bc7da386e6d5332d completed May 10, 2026, 1:36 a.m.
PD Predicate disambiguation batch_69ffe0a138bc8190a3d4b48cd579e985 completed May 10, 2026, 1:34 a.m.
Created at: May 3, 2026, 4:10 p.m.