Triple

T8656515
Position Surface form Disambiguated ID Type / Status
Subject Schwarzenberg E205431 entity
Predicate estateOwnershipHistorical P22003 FINISHED
Object large Bohemian landed estates 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: large Bohemian landed estates | Statement: [Schwarzenberg, estateOwnershipHistorical, large Bohemian landed estates]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: estateOwnershipHistorical
Context triple: [Schwarzenberg, estateOwnershipHistorical, large Bohemian landed estates]
  • A. ownershipHistory chosen
    Indicates the sequence of past and present owners associated with an entity over time.
  • B. hasNearbyHistoricalEstate
    Indicates that one entity is located close to another entity that is a recognized historical estate.
  • C. historicallyAssociatedHouse
    Indicates that there is a historical connection or association between an entity and a particular house, such as residence, ownership, or significant events tied to that location.
  • D. residenceHistoric
    Indicates that a residence has historical significance or is formally recognized as a historic dwelling.
  • E. associatedWithHistoricHome
    Indicates a relationship in which an entity is connected or linked in some relevant way to a historic home.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc484569788190aa41395854684e6f completed March 31, 2026, 10:18 p.m.
PD Predicate disambiguation batch_69cc45619460819091e83ffdec99c865 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:30 p.m.