Triple

T35130073
Position Surface form Disambiguated ID Type / Status
Subject Rules on Special Civil Actions E1014412 entity
Predicate coversRemedy P83701 FINISHED
Object certiorari 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: certiorari | Statement: [Rules on Special Civil Actions, coversRemedy, certiorari]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coversRemedy
Context triple: [Rules on Special Civil Actions, coversRemedy, certiorari]
  • A. remedy
    Indicates that one entity serves to cure, alleviate, or counteract a problem, illness, or undesirable condition affecting another entity.
  • B. remedyPower
    Indicates that one entity has the capacity or effectiveness to cure, alleviate, or counteract the negative effects associated with another entity.
  • C. hasRemedy chosen
    Indicates that one entity serves as a remedy, treatment, or corrective measure for a problem, condition, or undesirable state associated with another entity.
  • D. coverUpBy
    Indicates that one entity conceals, suppresses, or hides the actions, information, or wrongdoing associated with another entity.
  • E. coverStatus
    Indicates the current state or condition of coverage that applies to an entity, such as whether coverage is active, pending, expired, or otherwise classified.
  • 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_69f76dd9c1848190af70d4882a2c1ad7 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fd19f791f48190bbb6f6047f9ddc59 completed May 7, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69fd0df365948190bc9bfc7ffd46acd8 completed May 7, 2026, 10:10 p.m.
Created at: May 3, 2026, 4:02 p.m.