Triple

T38013679
Position Surface form Disambiguated ID Type / Status
Subject How the First Letter Was Written E948431 entity
Predicate intendedToExplain P5130 FINISHED
Object how the first written message was created 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: how the first written message was created | Statement: [How the First Letter Was Written, intendedToExplain, how the first written message was created]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intendedToExplain
Context triple: [How the First Letter Was Written, intendedToExplain, how the first written message was created]
  • A. usedToExplain
    Indicates that one entity serves as an explanation or clarification for another entity.
  • B. aimsToExplain chosen
    Indicates that one entity intends to clarify, make understandable, or provide an explanation about another entity, concept, or situation.
  • C. explanation
    Indicates that one entity provides a reason, clarification, or justification for another entity or event.
  • D. aimedToDescribe
    Indicates that one entity intentionally sought to explain, depict, or characterize another entity or concept.
  • E. laterExplained
    Indicates that an earlier event, statement, or situation is clarified or made understandable by information provided at a subsequent time.
  • 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_69f76efc10448190aff5fb566b98f952 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fe68a4b67881909ca1d9f276f922e0 completed May 8, 2026, 10:50 p.m.
PD Predicate disambiguation batch_69fe680234c88190b01f953987b74972 completed May 8, 2026, 10:47 p.m.
Created at: May 3, 2026, 4:20 p.m.