Triple

T15640969
Position Surface form Disambiguated ID Type / Status
Subject Roman numeral system E376061 entity
Predicate isNonPositional P119568 FINISHED
Object true 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: true | Statement: [Roman numeral system, isNonPositional, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isNonPositional
Context triple: [Roman numeral system, isNonPositional, true]
  • A. isNonPositionalSince
    Indicates that something has not depended on or been defined by positional context since a specified point in time.
  • B. hasPositionalCategory
    Indicates that something is associated with a specific positional classification or category based on its location or arrangement.
  • C. isNonBinding
    Indicates that the relationship or agreement exists but does not create any legally or formally enforceable obligation between the involved entities.
  • D. isNonlocal
    Indicates that the relationship or effect occurs between entities separated in space (or context) without requiring direct, local interaction.
  • E. isPositionOf
    Indicates that one entity represents the spatial or organizational position or location of another entity.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed06b388190bfebb77fe70e7df1 completed April 16, 2026, 2:52 a.m.
PD Predicate disambiguation batch_69deda890140819082608931e993dd61 completed April 15, 2026, 12:23 a.m.
PDg Predicate description generation batch_69dff7f3016c8190ac68d76e65e07af4 completed April 15, 2026, 8:41 p.m.
Created at: April 10, 2026, 4:15 a.m.