Triple

T6523375
Position Surface form Disambiguated ID Type / Status
Subject Moscato d’Asti E151241 entity
Predicate legalGrapeRequirement P9279 FINISHED
Object 100% Moscato Bianco 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: 100% Moscato Bianco | Statement: [Moscato d’Asti, legalGrapeRequirement, 100% Moscato Bianco]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalGrapeRequirement
Context triple: [Moscato d’Asti, legalGrapeRequirement, 100% Moscato Bianco]
  • A. legalCodeFocus
    Indicates that something is specifically concerned with, centered on, or primarily addressing a particular legal code or body of law.
  • B. legalQuestion
    Indicates that one entity poses or represents a question concerning legal rights, obligations, or interpretations to another entity or within a legal context.
  • C. legalRequirement chosen
    Indicates that one entity is obligated by law to perform, provide, or comply with something in relation to another entity or situation.
  • D. legalMatters
    Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
  • E. legalAct
    Indicates that an entity performs, enacts, or is involved in a formal legal action, measure, or proceeding under a legal framework.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad970afc81909d3231203eacf413 completed March 27, 2026, 4:17 p.m.
PD Predicate disambiguation batch_69c68abbc7148190a8270d47fe10cc31 completed March 27, 2026, 1:48 p.m.
Created at: March 27, 2026, 1:45 p.m.