Triple

T27140303
Position Surface form Disambiguated ID Type / Status
Subject Departemen Kehakiman E681798 entity
Predicate successorEnglishName P183483 FINISHED
Object Ministry of Law and Human Rights NE NERFINISHED

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: Ministry of Law and Human Rights | Statement: [Departemen Kehakiman, successorEnglishName, Ministry of Law and Human Rights]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: successorEnglishName
Context triple: [Departemen Kehakiman, successorEnglishName, Ministry of Law and Human Rights]
  • A. successorFullName
    Indicates that one entity is the full name of the successor of another entity (e.g., the person or role that follows it).
  • B. nicknameOfSuccessor
    Indicates that one entity is a nickname or informal name used to refer to another entity that is its successor.
  • C. successorNamesake
    Indicates that one entity is named after another entity that precedes it, typically as its successor or continuation in name.
  • D. successor
    Indicates that one entity directly follows another in an ordered sequence or position.
  • E. successorInUK
    Indicates that one entity directly follows another in a succession specific to the United Kingdom, such as in an official role, title, or office.
  • 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_69eefacca3888190b67238d380e8f28b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f7a01efcc08190bba489a9099b8684 completed May 3, 2026, 7:21 p.m.
PD Predicate disambiguation batch_69f79e4888248190be2f63cdfb5cd7b7 completed May 3, 2026, 7:13 p.m.
PDg Predicate description generation batch_69f79f477c4c8190a35cb6d87b1dcbd1 completed May 3, 2026, 7:17 p.m.
Created at: April 27, 2026, 9:09 a.m.