Triple

T37903926
Position Surface form Disambiguated ID Type / Status
Subject Spanish Faroe Islands E945493 entity
Predicate hasLegalSystemInSetting P131132 FINISHED
Object Spanish colonial 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: Spanish colonial law | Statement: [Spanish Faroe Islands, hasLegalSystemInSetting, Spanish colonial law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLegalSystemInSetting
Context triple: [Spanish Faroe Islands, hasLegalSystemInSetting, Spanish colonial law]
  • A. hasLegalSystemType
    Indicates that an entity possesses or is governed by a particular type or form of legal system.
  • B. usedLegalSystemOf chosen
    Indicates that one entity applied, followed, or operated under the legal system or body of laws belonging to another entity.
  • C. hasExtendedLawSystem
    Indicates that an entity possesses a comprehensive, detailed, and well-developed system of laws or legal regulations.
  • D. hasStateLawSystem
    Indicates that a jurisdiction or entity operates under or is governed by a particular system of state laws.
  • E. countryOfLegalSystem
    Indicates the relationship between a legal system and the country in which that legal system is officially established or applied.
  • 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_69f76ef20bb0819088b5b6ceecb0b8fc completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fea2d0a4d08190aa06aeb902a02d5a completed May 9, 2026, 2:58 a.m.
PD Predicate disambiguation batch_69fea24698348190b9b992a8e7cdbcd0 completed May 9, 2026, 2:56 a.m.
Created at: May 3, 2026, 4:20 p.m.