Triple

T36491425
Position Surface form Disambiguated ID Type / Status
Subject Flickr30k E899059 entity
Predicate hasScaleComparedTo P23282 FINISHED
Object larger than Flickr8k 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: larger than Flickr8k | Statement: [Flickr30k, hasScaleComparedTo, larger than Flickr8k]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScaleComparedTo
Context triple: [Flickr30k, hasScaleComparedTo, larger than Flickr8k]
  • A. hasScale
    Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
  • B. comparativeScale
    Indicates a relationship where one entity is evaluated relative to another along a shared scale or dimension (such as size, intensity, or degree).
  • C. scaleComparison chosen
    Indicates a relationship where two or more entities are compared in terms of their size, magnitude, or scale relative to one another.
  • D. hasScaleSize
    Indicates that one entity possesses a scale characterized by a particular size or magnitude in relation to another entity or value.
  • E. hasScales
    Indicates that an entity possesses scales as a surface covering or body feature.
  • 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_69f76e5ad4588190bdbce60c52fbb785 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fd5f29b1988190877764ef2a399c7f completed May 8, 2026, 3:57 a.m.
PD Predicate disambiguation batch_69fd5e30194c819085b5ce586122ab37 completed May 8, 2026, 3:53 a.m.
Created at: May 3, 2026, 4:10 p.m.