Triple

T11128256
Position Surface form Disambiguated ID Type / Status
Subject The Seven Part Code E263204 entity
Predicate legalSystematizationOf P97686 FINISHED
Object medieval Castilian 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: medieval Castilian law | Statement: [The Seven Part Code, legalSystematizationOf, medieval Castilian law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalSystematizationOf
Context triple: [The Seven Part Code, legalSystematizationOf, medieval Castilian law]
  • A. legalSystem
    Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
  • B. legalSystemDepictedAs
    Indicates that one entity portrays, represents, or characterizes a legal system in a particular way or form.
  • C. legalDoctrine
    Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
  • D. relatedLegalSystem
    Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
  • E. legalSystemSpecialization
    Indicates that a legal system is specialized or tailored to address a particular domain, issue, or type of case within the broader legal framework.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e830e804819097fcc3826d84dab8 completed April 9, 2026, 5:56 p.m.
PD Predicate disambiguation batch_69d7441efe948190ae4ab020121e169d completed April 9, 2026, 6:15 a.m.
PDg Predicate description generation batch_69d75112eb1c8190ba1dd51e42e8a7e8 completed April 9, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:28 p.m.