Triple

T34494524
Position Surface form Disambiguated ID Type / Status
Subject Weyarn E885561 entity
Predicate hasMunicipalSubdivisions P747 FINISHED
Object multiple villages and hamlets 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: multiple villages and hamlets | Statement: [Weyarn, hasMunicipalSubdivisions, multiple villages and hamlets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMunicipalSubdivisions
Context triple: [Weyarn, hasMunicipalSubdivisions, multiple villages and hamlets]
  • A. hasSubdivision chosen
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • B. hasTerritorialSubdivisionType
    Indicates that an entity’s territorial subdivisions are of a specified administrative or geographic type (e.g., province, county, district).
  • C. hasHigherLevelSubdivision
    Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
  • D. hasMunicipalPart
    Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
  • E. municipalCountrySubdivision
    Indicates that one administrative area functions as a municipal-level subdivision within the territory of a given country.
  • 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_69f349cafcec8190997b45b3fdc16c27 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fe031bc6208190860099aef72d8dcb completed May 8, 2026, 3:36 p.m.
PD Predicate disambiguation batch_69fe014c8b388190b5d4e0cb95ee2be5 completed May 8, 2026, 3:29 p.m.
Created at: May 1, 2026, 2:01 a.m.