Triple

T12118117
Position Surface form Disambiguated ID Type / Status
Subject Peter Chartier E288617 entity
Predicate stanceOnAlcoholTrade P103375 FINISHED
Object strongly opposed 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: strongly opposed | Statement: [Peter Chartier, stanceOnAlcoholTrade, strongly opposed]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stanceOnAlcoholTrade
Context triple: [Peter Chartier, stanceOnAlcoholTrade, strongly opposed]
  • A. alcoholPolicy
    Indicates the rules or restrictions governing the possession, sale, or consumption of alcohol in a given context.
  • B. wineRegulationStatus
    Indicates the regulatory classification or compliance status that applies to a given wine under relevant laws or standards.
  • C. controlledTradeWith
    Indicates a regulated or restricted trading relationship in which one entity manages, oversees, or limits the trade activities conducted with another entity.
  • D. nationalWineTradition
    Indicates that a country or region has an established cultural and historical practice of producing, consuming, and valuing wine.
  • E. wineRegulationBody
    Indicates that a regulatory organization has authority over the production, labeling, or distribution standards for a particular wine or wine-producing region.
  • F. None of above. chosen

Provenance (4 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9164ada5081908676bd9e5947268a completed April 10, 2026, 3:24 p.m.
PD Predicate disambiguation batch_69d9150497408190921334d21503375a completed April 10, 2026, 3:19 p.m.
PDg Predicate description generation batch_69d916481a008190ae66677b9e6dd961 completed April 10, 2026, 3:24 p.m.
Created at: April 8, 2026, 9:49 p.m.