Triple

T24689989
Position Surface form Disambiguated ID Type / Status
Subject Reuss E611406 entity
Predicate cadetBranches P2906 FINISHED
Object multiple minor Reuss lines 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 minor Reuss lines | Statement: [Reuss, cadetBranches, multiple minor Reuss lines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cadetBranches
Context triple: [Reuss, cadetBranches, multiple minor Reuss lines]
  • A. hasCadetBranch chosen
    Indicates that one lineage, family, or house is a junior or offshoot branch derived from another main or senior line.
  • B. hasCorpsOfCadets
    Indicates that an institution maintains an organized corps of cadets as part of its structure or programs.
  • C. typeOfCadetForce
    Indicates the specific category or kind of cadet force to which an entity belongs.
  • D. militaryBranchSupervised
    Indicates that one military branch has authority over, or is responsible for overseeing and directing, another military branch.
  • E. containsMilitaryAcademy
    Indicates that one entity includes or hosts a military academy within its boundaries or domain.
  • 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_69e2c4d678b081908910f4271627a31a completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f410fe3b848190ae296a29f742ee30 completed May 1, 2026, 2:33 a.m.
PD Predicate disambiguation batch_69f40ee8ada8819089a7016b50308ff0 completed May 1, 2026, 2:24 a.m.
Created at: April 18, 2026, 3:20 a.m.