Triple

T26201413
Position Surface form Disambiguated ID Type / Status
Subject Judicial Magistrate of First Class Courts in Kerala E655239 entity
Predicate maximumSentencePower P165846 FINISHED
Object imprisonment up to three years 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: imprisonment up to three years | Statement: [Judicial Magistrate of First Class Courts in Kerala, maximumSentencePower, imprisonment up to three years]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maximumSentencePower
Context triple: [Judicial Magistrate of First Class Courts in Kerala, maximumSentencePower, imprisonment up to three years]
  • A. maximumNumber
    Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
  • B. expressivePower
    Indicates the degree to which one system, language, or formalism can represent or capture the behaviors, structures, or concepts expressible in another.
  • C. maximumMagnitude
    Indicates the greatest absolute value or intensity that a quantity, measurement, or effect can reach within a given context.
  • D. maximumEnergy
    Indicates the greatest amount of energy that an entity can possess, store, or output under specified conditions.
  • E. maximumSegmentLength
    Indicates the greatest allowable or observed length of a segment within a given context or structure.
  • F. None of above. chosen

Provenance (4 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_69ee5b48236c81908fe385b6afc4f60b completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f65b14512c8190a40e70319dcc54cd completed May 2, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69f659cc571c819097e51e531961d812 completed May 2, 2026, 8:08 p.m.
PDg Predicate description generation batch_69f65a9cb0bc8190bf8a9b319900bad5 completed May 2, 2026, 8:12 p.m.
Created at: April 26, 2026, 8:48 p.m.