Triple

T4503097
Position Surface form Disambiguated ID Type / Status
Subject Ottoman kuruş E101268 entity
Predicate continuedAsSubdivisionAfterLira P14054 FINISHED
Object yes 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: yes | Statement: [Ottoman kuruş, continuedAsSubdivisionAfterLira, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: continuedAsSubdivisionAfterLira
Context triple: [Ottoman kuruş, continuedAsSubdivisionAfterLira, yes]
  • A. subdividedBy
    Indicates that something is divided into smaller parts or sections by another entity or criterion.
  • B. successorDivision chosen
    Indicates that one division is the organizational successor that continues or replaces the role, functions, or identity of another division.
  • C. formerSubdivisionOf
    Indicates that an entity once functioned as an administrative or territorial part of another entity but no longer holds that status.
  • D. hasSubdivision
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • E. divisionTitle
    Indicates the formal name or title assigned to a specific division within a larger organization or structure.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56fb2bec8190b74b6a49d9475514 completed March 20, 2026, 2:17 p.m.
PD Predicate disambiguation batch_69bd521671688190bc655d25fa77eba2 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:01 p.m.