Triple

T34983062
Position Surface form Disambiguated ID Type / Status
Subject Paulatim Sed Firmiter E1008866 entity
Predicate paulatimMeaning P67029 FINISHED
Object little by little 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: little by little | Statement: [Paulatim Sed Firmiter, paulatimMeaning, little by little]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: paulatimMeaning
Context triple: [Paulatim Sed Firmiter, paulatimMeaning, little by little]
  • A. PSEMeaning
    Indicates that one entity expresses, conveys, or encodes a particular meaning or semantic content in relation to another.
  • B. meaningViaPatricia
    Indicates that something’s meaning, interpretation, or understanding is conveyed, mediated, or determined through an intermediary named Patricia.
  • C. PBMeaning chosen
    Indicates that something conveys, expresses, or represents a particular sense, idea, or significance.
  • D. hasMeaningViaJohn
    Indicates that something possesses or conveys its meaning specifically through John as the interpretive or mediating agent.
  • E. PoloMeaning
    Indicates that one entity represents the meaning, definition, or semantic interpretation of the term or concept "Polo" for 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_69f76dc844a48190881951fffb83d17e completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78710282c81909146dc0be91e983f completed May 3, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69f784162134819098413482ef52042f completed May 3, 2026, 5:21 p.m.
Created at: May 3, 2026, 4:01 p.m.