Triple

T19098886
Position Surface form Disambiguated ID Type / Status
Subject Asti Spumante E467476 entity
Predicate bubbleDescription P127670 FINISHED
Object fine and persistent perlage 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: fine and persistent perlage | Statement: [Asti Spumante, bubbleDescription, fine and persistent perlage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bubbleDescription
Context triple: [Asti Spumante, bubbleDescription, fine and persistent perlage]
  • A. bubbleCharacteristic chosen
    Indicates that one entity has a specific property, feature, or quality that characterizes a bubble or bubble-like state in relation to another entity or context.
  • B. bubbleState
    Indicates the current status or condition of a bubble within a process, system, or environment (e.g., whether it exists, is active, stable, or has changed).
  • C. bubbleLocation
    Indicates the spatial position or area where a bubble is situated or occurs.
  • D. bubbleCity
    Indicates a relationship where a city is characterized as being enclosed, isolated, or self-contained like a bubble, often separated or protected from its surrounding environment.
  • E. DysonBubbleDefinition
    Indicates the conceptual specification or characterization of a Dyson bubble structure and how its components are arranged or function together.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36c55688190b4a5135ea10c9924 completed April 20, 2026, 8:27 a.m.
PD Predicate disambiguation batch_69e4b9ac41848190afd0f33b42cebe99 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:04 p.m.