Triple

T12962821
Position Surface form Disambiguated ID Type / Status
Subject Lollard knights E321185 entity
Predicate languageOfReligiousTextsSupported P1187 FINISHED
Object Middle English 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: Middle English | Statement: [Lollard knights, languageOfReligiousTextsSupported, Middle English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfReligiousTextsSupported
Context triple: [Lollard knights, languageOfReligiousTextsSupported, Middle English]
  • A. religiousTextLanguageOf
    Indicates that a particular language is the language in which a given religious text is written or primarily expressed.
  • B. usedForReligiousTexts
    Indicates that something is used in the creation, preservation, or practice of religious texts or scriptures.
  • C. hasLanguageOfScripture chosen
    Indicates that an entity’s scriptural or sacred texts are written or expressed in a specified language.
  • D. typicalLanguageOfReadings
    Indicates the language that is most commonly used for readings or interpretations associated with a given entity.
  • E. usedInReligiousTextsOf
    Indicates that something (such as a concept, term, or symbol) appears within and is employed in the religious texts associated with a particular religion or tradition.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
PD Predicate disambiguation batch_69d97dba57988190b786ffed55687a72 completed April 10, 2026, 10:46 p.m.
Created at: April 9, 2026, 8:23 p.m.