Triple

T1851767
Position Surface form Disambiguated ID Type / Status
Subject Tsakonian E41609 entity
Predicate retainsFeature P17760 FINISHED
Object Doric phonology 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: Doric phonology | Statement: [Tsakonian, retainsFeature, Doric phonology]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: retainsFeature
Context triple: [Tsakonian, retainsFeature, Doric phonology]
  • A. preservesFeature chosen
    Indicates that one entity maintains or keeps intact a particular feature, property, or characteristic of another entity during some process or interaction.
  • B. protectsFeature
    Indicates that one entity safeguards, preserves, or defends a particular feature or characteristic of another entity.
  • C. retained
    Indicates that one entity keeps possession, control, or continued engagement of another entity over a period of time.
  • D. retainsHeritageOf
    Indicates that one entity preserves, maintains, or keeps alive the cultural, historical, or traditional legacy originating from another entity.
  • E. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb32d35508190bf1c487dffbecaf0 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abafdca6d8819083c66f3a29fd9fd1 completed March 7, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:33 p.m.