Triple

T5287783
Position Surface form Disambiguated ID Type / Status
Subject His Grace E119663 entity
Predicate typicalPrecedent P63309 FINISHED
Object title and name of the duke 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: title and name of the duke | Statement: [His Grace, typicalPrecedent, title and name of the duke]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalPrecedent
Context triple: [His Grace, typicalPrecedent, title and name of the duke]
  • A. precedentInterpreted
    Indicates that one legal precedent is interpreted or understood in a particular way, often as clarified or applied in subsequent decisions or analyses.
  • B. precedentSystem
    Indicates that one legal system or framework serves as a source of precedent or authoritative guidance for another system.
  • C. precedentFor
    Indicates that one situation, decision, or case serves as an authoritative example or basis for deciding or interpreting another.
  • D. modifiedPrecedent
    Indicates that one entity has altered, qualified, or changed the terms, scope, or interpretation of a prior decision, rule, or precedent.
  • E. hasCourtPrecedence
    Indicates that one court decision or ruling holds authoritative priority over another in legal reasoning or application.
  • F. None of above. chosen

Provenance (4 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8682d18c8190bbb35cc75c8a7c12 completed March 20, 2026, 5:40 p.m.
PD Predicate disambiguation batch_69bd844dfdac819086efedd1cbebff84 completed March 20, 2026, 5:30 p.m.
PDg Predicate description generation batch_69bd86800630819096dad2eb2248c372 completed March 20, 2026, 5:40 p.m.
Created at: March 20, 2026, 1:52 p.m.