Triple

T285580
Position Surface form Disambiguated ID Type / Status
Subject New Testament manuscripts E5878 entity
Predicate haveEarliestExamplesFrom P3921 FINISHED
Object 2nd century 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: 2nd century | Statement: [New Testament manuscripts, haveEarliestExamplesFrom, 2nd century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveEarliestExamplesFrom
Context triple: [New Testament manuscripts, haveEarliestExamplesFrom, 2nd century]
  • A. languageOfEarliestForm
    Indicates the language in which the earliest known form or attested version of something (e.g., a text, name, or expression) is recorded.
  • B. hasExample
    Indicates that one entity serves as an instance, illustration, or concrete example of another entity.
  • C. firstDemonstrated
    Indicates that one entity was the earliest to show, prove, or exemplify a particular concept, method, or capability in relation to another entity or context.
  • D. firstClearlyAttestedIn chosen
    Indicates the earliest known point in time or source where something is clearly documented or evidenced.
  • E. historicallyRecordedSince
    Indicates that the existence, occurrence, or recognition of one entity has been documented in historical records starting from the time specified by another entity.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a2605b372c8190831570aa6532cc96 completed Feb. 28, 2026, 3:26 a.m.
PD Predicate disambiguation batch_69a25b7a8d148190aacdcc8ccb35c7f3 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.