Triple

T30180546
Position Surface form Disambiguated ID Type / Status
Subject Courts of Requests of Ceylon E767187 entity
Predicate accessToJusticeRole P41321 FINISHED
Object providing inexpensive civil justice 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: providing inexpensive civil justice | Statement: [Courts of Requests of Ceylon, accessToJusticeRole, providing inexpensive civil justice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accessToJusticeRole
Context triple: [Courts of Requests of Ceylon, accessToJusticeRole, providing inexpensive civil justice]
  • A. legalSystemRole chosen
    Indicates the specific function, capacity, or position an entity holds within a legal or judicial system.
  • B. legalProfessionRole
    Indicates that one entity holds or performs a specific professional role within the legal domain in relation to another entity or context.
  • C. legalCaseRole
    Indicates the specific role or capacity an entity holds within a legal case, such as plaintiff, defendant, judge, or attorney.
  • D. deJureRole
    Indicates that an entity holds a role or position by law or formal right, regardless of whether it is exercised in practice.
  • E. roleAtCourt
    Indicates the specific position, function, or status an entity holds within a court or courtly setting.
  • 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_69f2247ba20c81909d34f2bfed706e1e completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6cee45590819086e489bfccbe4ac3 completed May 3, 2026, 4:28 a.m.
PD Predicate disambiguation batch_69f6cc1188708190b8f0f56e595e6057 completed May 3, 2026, 4:16 a.m.
Created at: April 29, 2026, 7:26 p.m.