Triple

T6995189
Position Surface form Disambiguated ID Type / Status
Subject Bishopric of Duisburg E162192 entity
Predicate hasTerritorialForm P64377 FINISHED
Object ecclesiastical territory 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: ecclesiastical territory | Statement: [Bishopric of Duisburg, hasTerritorialForm, ecclesiastical territory]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTerritorialForm
Context triple: [Bishopric of Duisburg, hasTerritorialForm, ecclesiastical territory]
  • A. hasFormOfTerritorialOrganization chosen
    Indicates that one entity possesses or is structured according to a particular type or form of territorial organization.
  • B. hasTerritorialAssociation
    Indicates a relationship where an entity is linked or connected to a specific territory, area, or geographic region.
  • C. territorialStatus
    Indicates the legal or political condition of control, sovereignty, or jurisdiction that applies to a specific territory.
  • D. territorial
    Indicates that one entity claims, defends, or is associated with control over a specific area or domain in relation to another entity.
  • E. definedTerritoryOf
    Indicates that one entity specifies or establishes the official territorial boundaries or jurisdiction of another entity.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbec259c8190bb4cfbc1ff6fc786 completed March 27, 2026, 7:35 p.m.
PD Predicate disambiguation batch_69c6d7c4a18881908d267137daed828b completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:32 p.m.