Triple

T32979581
Position Surface form Disambiguated ID Type / Status
Subject Даниил Александрович E843758 entity
Predicate successorTerritorial P37077 FINISHED
Object Московское княжество 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: Московское княжество | Statement: [Даниил Александрович, successorTerritorial, Московское княжество]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorTerritorial
Context triple: [Даниил Александрович, successorTerritorial, Московское княжество]
  • A. successorTerritorialStatus
    Indicates the territorial status or jurisdiction that directly follows and replaces a previous territorial status in a succession or transition.
  • B. successorTerritorialEntity chosen
    Indicates that one territorial entity directly follows and replaces another in governing authority or jurisdiction over a given area.
  • C. successorArea
    Indicates that one area directly follows or replaces another area in a defined sequence, progression, or versioning of areas.
  • D. successorKingdom
    Indicates that one kingdom directly follows and replaces another as the ruling political entity.
  • E. successorInNorthernLands
    Indicates that one entity becomes the next holder of a role, title, or position specifically within the context of the Northern Lands.
  • 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_69f3494c6f9c8190a255409fce8b1d3b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69ff6fba1a5c8190a660279a6271d785 completed May 9, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69ff6f59388c8190a7d6ab7bc7705bc0 completed May 9, 2026, 5:31 p.m.
Created at: May 1, 2026, 1:22 a.m.