Triple

T23176081
Position Surface form Disambiguated ID Type / Status
Subject Goyon de Matignon E579007 entity
Predicate nobilityRankScope P9679 FINISHED
Object high nobility 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: high nobility | Statement: [Goyon de Matignon, nobilityRankScope, high nobility]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nobilityRankScope
Context triple: [Goyon de Matignon, nobilityRankScope, high nobility]
  • A. nobilitySystem
    Indicates a social or political structure in which individuals are ranked by hereditary titles or noble status.
  • B. nobilityClass chosen
    Indicates that an entity belongs to, or is associated with, a particular class or rank within a nobility hierarchy.
  • C. nobleRankType
    Indicates the specific category or level of nobility associated with an entity within a hierarchical noble rank system.
  • D. nobleRankIn
    Indicates that an entity holds a specified noble rank within a particular political or territorial jurisdiction.
  • E. nobleRankAbove
    Indicates that one entity holds a higher noble rank or title in a hierarchy than 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6a8644819099b107bb13ea16ff completed April 29, 2026, 4:56 a.m.
PD Predicate disambiguation batch_69ef89ff76808190808ee4ad9dea776b completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 4:04 p.m.