Triple

T25551014
Position Surface form Disambiguated ID Type / Status
Subject Landgrave of Hesse E640438 entity
Predicate subdivisionsLater P160867 FINISHED
Object Landgrave of Hesse-Marburg NE NERFINISHED

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: Landgrave of Hesse-Marburg | Statement: [Landgrave of Hesse, subdivisionsLater, Landgrave of Hesse-Marburg]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subdivisionsLater
Context triple: [Landgrave of Hesse, subdivisionsLater, Landgrave of Hesse-Marburg]
  • A. subdivisionsLater chosen
    Indicates that one entity’s subdivisions occur after or at a later stage than the subdivisions of another entity.
  • B. subdividedBy
    Indicates that something is divided into smaller parts or sections by another entity or criterion.
  • C. hasSubdivision
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • D. 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.
  • E. introducedSubdivision
    Indicates that one entity created or formally established a new subdivision or sub-unit within another entity or structure.
  • 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_69e75dc101a881909fd33b02174e9768 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f60c3b09488190ade1b69ff7f0df0e completed May 2, 2026, 2:37 p.m.
PD Predicate disambiguation batch_69f60b8461ac81908c5bd3d73eed59f4 completed May 2, 2026, 2:34 p.m.
Created at: April 21, 2026, 3:36 p.m.