Triple

T28166402
Position Surface form Disambiguated ID Type / Status
Subject the One-Armed Lady E715336 entity
Predicate hasVisualAnalogy P82532 FINISHED
Object cathedral with one arm (one tower) 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: cathedral with one arm (one tower) | Statement: [the One-Armed Lady, hasVisualAnalogy, cathedral with one arm (one tower)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasVisualAnalogy
Context triple: [the One-Armed Lady, hasVisualAnalogy, cathedral with one arm (one tower)]
  • A. viewOnAnalogy
    Indicates a relationship where one entity interprets, understands, or evaluates another entity by drawing an analogy to something else.
  • B. visualMetaphor chosen
    Indicates a relationship where one entity conceptually represents or explains another through a visual analogy or symbolic imagery.
  • C. relatedAnalogy
    Indicates that one entity is connected to another through an analogy, expressing a similarity or correspondence in structure, function, or relationship between them.
  • D. hasAnalog
    Indicates that one entity corresponds to or functions similarly to another entity in a comparable context or role.
  • E. visualizedIn
    Indicates that something is represented or depicted within a particular visual medium, view, or visualization.
  • 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_69efd6b340f0819095680e15dcdc1830 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f6df450014819099d118e5c2d697fa completed May 3, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69f6de07836481908785cde9c511920b completed May 3, 2026, 5:32 a.m.
Created at: April 27, 2026, 10:10 p.m.