Triple

T31066412
Position Surface form Disambiguated ID Type / Status
Subject Strand E791682 entity
Predicate hasMeaningInScandinavianLanguages P92861 FINISHED
Object beach 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: beach | Statement: [Strand, hasMeaningInScandinavianLanguages, beach]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMeaningInScandinavianLanguages
Context triple: [Strand, hasMeaningInScandinavianLanguages, beach]
  • A. meaningInModernScandinavianLanguages chosen
    Indicates that something has a particular meaning or sense when used in contemporary Scandinavian languages.
  • B. hasMeaningInOriginLanguage
    Indicates that something (such as a word, phrase, or symbol) possesses a specific meaning in its original or source language.
  • C. hasDanishNameMeaning
    Indicates that an entity has a Danish name whose semantic meaning or etymology is being specified.
  • D. hasMeaningInEstonian
    Indicates that something possesses a particular meaning or interpretation in the Estonian language.
  • E. meaningInOldNorse
    Indicates that something has a particular meaning or translation in the Old Norse language.
  • 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_69f224cc0c5c81908404f087bff92997 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fde5d7d9548190880a9d95b8f0f66b completed May 8, 2026, 1:32 p.m.
PD Predicate disambiguation batch_69fde4e1bf9c81909754545275eccc03 completed May 8, 2026, 1:28 p.m.
Created at: April 29, 2026, 9:01 p.m.