Triple

T5486562
Position Surface form Disambiguated ID Type / Status
Subject All India Reporter (Supreme Court) E123595 entity
Predicate typeOfCaseLaw P53720 FINISHED
Object reported judgments 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: reported judgments | Statement: [All India Reporter (Supreme Court), typeOfCaseLaw, reported judgments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfCaseLaw
Context triple: [All India Reporter (Supreme Court), typeOfCaseLaw, reported judgments]
  • A. typeOfLaw
    Indicates that one entity is a specific category or kind of law to which the other entity pertains.
  • B. legalCase
    Indicates a relationship where a formal legal dispute or proceeding exists between parties, typically adjudicated by a court or similar authority.
  • C. litigationType
    Indicates the specific category or nature of a legal dispute or court case associated with an entity or event.
  • D. legalCaseAlongside
    Indicates that two or more legal cases are proceeding in parallel or in coordination, such that they are related or handled together in some aspect of the legal process.
  • E. typeOfLawReport chosen
    Indicates the specific category or classification of a law report (e.g., official, unofficial, regional, specialized) associated with a legal case or decision.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd93e5d0f08190a6cc9fc408b7c5bb completed March 20, 2026, 6:37 p.m.
PD Predicate disambiguation batch_69bd91a73b148190a865243536a4fe76 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:10 p.m.