Triple

T14751920
Position Surface form Disambiguated ID Type / Status
Subject scabbard of Excalibur E346629 entity
Predicate laterTraditionsLanguage P115652 FINISHED
Object French 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: French | Statement: [scabbard of Excalibur, laterTraditionsLanguage, French]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterTraditionsLanguage
Context triple: [scabbard of Excalibur, laterTraditionsLanguage, French]
  • A. governingLanguageTradition
    Indicates that one language tradition holds authoritative or regulatory influence over another in terms of norms, standards, or accepted practices.
  • B. heritageLanguage
    Indicates that one entity is the ancestral or culturally inherited language associated with another entity.
  • C. languageFamilyTraditional
    Indicates that one entity belongs to, or is classified under, the traditional language family of the other entity.
  • D. ancientLanguages
    Indicates that the related entities are languages that originated in and were used during ancient historical periods.
  • E. laterLanguageOfMonks
    Indicates that one language is the later historical language used by a community of monks relative to another language they previously used.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d40efc8190bb1be34c19a2b57c completed April 14, 2026, 11:03 p.m.
PD Predicate disambiguation batch_69de8bf9331481909582045cd567d91f completed April 14, 2026, 6:48 p.m.
PDg Predicate description generation batch_69de8f4b67cc8190b84b59fcec5cf579 completed April 14, 2026, 7:02 p.m.
Created at: April 10, 2026, 1:30 a.m.