Triple

T9010290
Position Surface form Disambiguated ID Type / Status
Subject Dietingen E215450 entity
Predicate subdivisionTypeWithinMunicipality P36805 FINISHED
Object village — 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: village | Statement: [Dietingen, subdivisionTypeWithinMunicipality, village]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subdivisionTypeWithinMunicipality
Context triple: [Dietingen, subdivisionTypeWithinMunicipality, village]
  • A. hasTypeOfSubdivision chosen
    Indicates that one administrative or territorial unit is classified as a specific kind or category of subdivision.
  • B. traditionalSubdivisionOf
    Indicates that one entity is a historically or culturally recognized sub-unit or component region of another, according to traditional (rather than strictly modern administrative) divisions.
  • C. subdivisionRank
    Indicates the hierarchical level or type of administrative or territorial subdivision that an entity occupies within a larger organizational or geographic structure.
  • D. citySubdivision
    Indicates that one administrative or geographic unit is a smaller subdivision contained within a larger city.
  • E. urbanDistrictType
    Indicates the classification of an urban district according to its specific type or category within an administrative or planning 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69c00ae8819090786385a72e8baf completed April 1, 2026, 12:41 a.m.
PD Predicate disambiguation batch_69cc5edf84408190aa5f57cb8bfd00e1 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:06 p.m.