Triple

T35097477
Position Surface form Disambiguated ID Type / Status
Subject Minimundus E1012904 entity
Predicate hasScaleRange P144633 FINISHED
Object 1:25 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: 1:25 | Statement: [Minimundus, hasScaleRange, 1:25]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScaleRange
Context triple: [Minimundus, hasScaleRange, 1:25]
  • A. hasScale
    Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
  • B. hasScaleSize chosen
    Indicates that one entity possesses a scale characterized by a particular size or magnitude in relation to another entity or value.
  • C. hasScaleSeries
    Indicates that one entity is associated with a particular ordered set or sequence of scales used for measurement, evaluation, or representation.
  • D. hasScales
    Indicates that an entity possesses scales as a surface covering or body feature.
  • E. hasScaleParameter
    Indicates that an entity is associated with a scale parameter that controls the magnitude or dispersion of a related quantity or distribution.
  • 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_69f76dd556248190808b4c4f43debebb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fd4129a8848190a5002150278ac689 completed May 8, 2026, 1:49 a.m.
PD Predicate disambiguation batch_69fd3e0515ec8190937c7af71ebc3875 completed May 8, 2026, 1:36 a.m.
Created at: May 3, 2026, 4:01 p.m.