Triple

T34059587
Position Surface form Disambiguated ID Type / Status
Subject National Route 235 E873453 entity
Predicate hasJurisprudence P178187 FINISHED
Object Japanese road law 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: Japanese road law | Statement: [National Route 235, hasJurisprudence, Japanese road law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasJurisprudence
Context triple: [National Route 235, hasJurisprudence, Japanese road law]
  • A. hasJurisprudenceField
    Indicates that an entity’s work, expertise, or classification pertains to a specific field or branch of jurisprudence (legal theory or law).
  • B. hasPartInJurisprudence
    Indicates that one legal concept, rule, or component forms a constituent part of another within the domain of jurisprudence.
  • C. jurisprudenceDiscussedIn
    Indicates that a topic, issue, or principle of jurisprudence is examined, analyzed, or debated within a particular document, discussion, or source.
  • D. hasJurisdictionOver
    Indicates that one authority or governing body holds legal power or control to make and enforce decisions over another entity, area, or matter.
  • E. hasJustice
    Indicates that an entity possesses, upholds, or embodies justice in its actions, qualities, or governing principles.
  • 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_69f349a4af208190afa14888f9c9fb9d completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70c53062c8190b4cb7be22ab00bc7 completed May 3, 2026, 8:50 a.m.
PD Predicate disambiguation batch_69f70ac0170c819098e3b8e41d02efef completed May 3, 2026, 8:43 a.m.
PDg Predicate description generation batch_69f70b94784c8190970d654e066eb50d completed May 3, 2026, 8:47 a.m.
Created at: May 1, 2026, 1:52 a.m.