Triple

T1145858
Position Surface form Disambiguated ID Type / Status
Subject 皇室 E23562 entity
Predicate hasDynasticHouse P20125 FINISHED
Object 大和朝廷 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: 大和朝廷 | Statement: [皇室, hasDynasticHouse, 大和朝廷]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDynasticHouse
Context triple: [皇室, hasDynasticHouse, 大和朝廷]
  • A. dynasticOrigin chosen
    Indicates the historical dynasty or ruling family from which an entity originates or descends.
  • B. dynasticType
    Indicates the specific kind or category of dynastic relationship or succession pattern that applies between ruling entities or lineages.
  • C. dynasticStatus
    Indicates the relationship between an entity and a ruling dynasty, such as membership in, association with, or status within that dynastic line.
  • D. hasDynasticOrder
    Indicates that there exists a specific sequence or hierarchy of dynasties or ruling lines associated with the subject.
  • E. dynasticBranch
    Indicates a genealogical relationship where one lineage or house originates from, or is a subordinate offshoot of, a larger parent dynasty.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc6e8c2081909fb3534413b7aacb completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb4d4104819084027a043c6118cb completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:44 p.m.