Triple

T2993293
Position Surface form Disambiguated ID Type / Status
Subject Angora cats E81005 entity
Predicate statusInTurkey P44572 FINISHED
Object national treasure 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: national treasure | Statement: [Angora cats, statusInTurkey, national treasure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusInTurkey
Context triple: [Angora cats, statusInTurkey, national treasure]
  • A. statusInEgypt
    Indicates the legal, social, or official condition or standing that an entity holds specifically within the context of Egypt.
  • B. statusInIran
    Indicates the legal, social, or political standing or condition of an entity specifically within the context of Iran.
  • C. statusInRussia
    Indicates the legal, social, or operational condition or standing that something or someone has specifically within the context of Russia.
  • D. statusInPakistan
    Indicates the legal, social, or operational condition or standing that something or someone has within the context of Pakistan.
  • E. statusInRepublicOfIreland
    Indicates the legal or official status that an entity holds within the jurisdiction of the Republic of Ireland.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99e12c5c8190af7cc20e4c48bf45 completed March 8, 2026, 3:46 p.m.
PD Predicate disambiguation batch_69ad961403108190bbecb8d3608fd4e0 completed March 8, 2026, 3:30 p.m.
PDg Predicate description generation batch_69ad97f5d28c8190899d90204dc43428 completed March 8, 2026, 3:38 p.m.
Created at: March 8, 2026, 2:59 p.m.