Triple

T35479396
Position Surface form Disambiguated ID Type / Status
Subject tozama domain E1025426 entity
Predicate minimumStipendForStatus P96099 FINISHED
Object 10,000 koku 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: 10,000 koku | Statement: [tozama domain, minimumStipendForStatus, 10,000 koku]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: minimumStipendForStatus
Context triple: [tozama domain, minimumStipendForStatus, 10,000 koku]
  • A. stipendRank
    Indicates the relative ordering or level of a stipend assigned to an entity compared to others.
  • B. approximateStipend
    Indicates an estimated or rough amount of stipend associated with an entity or situation.
  • C. minimumGrant chosen
    Indicates that there is a lowest allowable or required amount of a grant associated with an entity or agreement.
  • D. minimumContribution
    Indicates the smallest allowable or required amount that an entity must contribute in a given context or relationship.
  • E. incomeRequirement
    Indicates that a certain minimum level or range of income is required for an entity to qualify for or participate in something.
  • 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_69f76dfadba0819083456aadcd6864ea completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a225a77c81908f8953ccfeb14336 completed May 3, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69f7a06d4f108190bae3ab9ae431d2c7 completed May 3, 2026, 7:22 p.m.
Created at: May 3, 2026, 4:04 p.m.