Triple

T10178682
Position Surface form Disambiguated ID Type / Status
Subject Frontier Crimes Regulations E235924 entity
Predicate legalStatusAfter2018 P92543 FINISHED
Object abolished in Pakistan 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: abolished in Pakistan | Statement: [Frontier Crimes Regulations, legalStatusAfter2018, abolished in Pakistan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusAfter2018
Context triple: [Frontier Crimes Regulations, legalStatusAfter2018, abolished in Pakistan]
  • A. legalStatusAfter2013
    Indicates the legal status or condition of an entity as it applies from the year 2013 onward.
  • B. legalStatusAfter1801
    Indicates the legal status or condition of an entity as it existed or was defined after the year 1801.
  • C. statusAfter2018
    Indicates the condition or state of something specifically during the period after the year 2018.
  • D. legalStatusAfter1980
    Indicates the legal status or condition that an entity holds specifically for the period after the year 1980.
  • E. legalStatusAfter2005
    Indicates the legal status or condition that applies to an entity starting from the year 2005 onward.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd620808190892c6e3074500280 completed April 2, 2026, 4:13 a.m.
PD Predicate disambiguation batch_69cd7c79f21c8190a7f31b2eab80b8ba completed April 1, 2026, 8:13 p.m.
PDg Predicate description generation batch_69cd7edc6cf081909d95859d880a4059 completed April 1, 2026, 8:23 p.m.
Created at: March 30, 2026, 9:11 p.m.