Triple

T11516627
Position Surface form Disambiguated ID Type / Status
Subject Champagne fairs E273046 entity
Predicate productTraded P26480 FINISHED
Object Flemish cloth 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: Flemish cloth | Statement: [Champagne fairs, productTraded, Flemish cloth]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: productTraded
Context triple: [Champagne fairs, productTraded, Flemish cloth]
  • A. productsTraded chosen
    Indicates that one entity exchanges or deals specific goods or commodities with another entity.
  • B. subjectOfSale
    Indicates that one entity is the item, asset, or right being transferred or offered in a sale transaction involving another entity.
  • C. tradedAsset
    Indicates that an entity is the asset or instrument being exchanged in a trade transaction between parties.
  • D. productFor
    Indicates that one entity is intended to be used by, with, or in relation to another entity as its product or offering.
  • E. tradedIn
    Indicates that one entity has given up or exchanged another entity, typically as part of a transaction to obtain something else.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcc72a48190b81acedfcc8685d3 completed April 10, 2026, 4:42 a.m.
PD Predicate disambiguation batch_69d80876e5f0819088cff2e72f773cf6 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:36 p.m.