Triple

T9433359
Position Surface form Disambiguated ID Type / Status
Subject Labourd E227438 entity
Predicate historicalLegalSystem P17298 FINISHED
Object Basque customary 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: Basque customary law | Statement: [Labourd, historicalLegalSystem, Basque customary law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalLegalSystem
Context triple: [Labourd, historicalLegalSystem, Basque customary law]
  • A. historicalLaw
    Indicates that the referenced law or legal provision existed and was in effect during a past historical period, rather than being current.
  • B. historicalJurisdiction
    Indicates that one entity previously held legal or administrative authority over another entity during a past time period.
  • C. legalHistory
    Indicates that there exists a record of past legal actions, cases, or statuses associated with an entity.
  • D. hasLawTradition chosen
    Indicates that one legal system, jurisdiction, or entity follows or is based on a particular legal tradition or family of law.
  • E. coexistingLegalTradition
    Indicates that multiple legal traditions or systems exist and operate simultaneously within the same social or institutional context.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e61a114819081fc4a2ad39c96ba completed April 1, 2026, 8:21 p.m.
PD Predicate disambiguation batch_69cca55548488190b171ae695a3212de completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:49 p.m.