Triple

T9757312
Position Surface form Disambiguated ID Type / Status
Subject village courts of American Samoa E236584 entity
Predicate appliesCustomaryLaw P9797 FINISHED
Object Samoan 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: Samoan customary law | Statement: [village courts of American Samoa, appliesCustomaryLaw, Samoan customary law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesCustomaryLaw
Context triple: [village courts of American Samoa, appliesCustomaryLaw, Samoan customary law]
  • A. customaryLaw chosen
    Indicates that a relationship, behavior, or rule is governed by unwritten, traditional norms and practices recognized as binding within a community or group.
  • B. civilLawBasedOn
    Indicates that a civil law, legal system, or legal provision is derived from, grounded in, or significantly influenced by another specified source of law or legal framework.
  • C. haveCivilLaw
    Indicates that an entity is subject to, governed by, or operates under a civil law legal system.
  • D. appliedLawFrom
    Indicates that a specific law or legal provision was applied or derived from a particular source, context, or jurisdiction in a legal decision or situation.
  • E. relatedLegalSystem
    Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda046a4048190a2c66321a9911817 completed April 1, 2026, 10:46 p.m.
PD Predicate disambiguation batch_69cd03d0772c8190bd1750cf1cfba309 completed April 1, 2026, 11:38 a.m.
Created at: March 30, 2026, 8:24 p.m.