Triple

T13505075
Position Surface form Disambiguated ID Type / Status
Subject C-segment E320994 entity
Predicate importanceInMarket P74963 FINISHED
Object one of the largest-volume segments in Europe 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: one of the largest-volume segments in Europe | Statement: [C-segment, importanceInMarket, one of the largest-volume segments in Europe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: importanceInMarket
Context triple: [C-segment, importanceInMarket, one of the largest-volume segments in Europe]
  • A. impactOnMarket
    Indicates the effect or influence that one factor, event, or action has on market conditions, behavior, or outcomes.
  • B. isImportantFor
    Indicates that something holds significant value, relevance, or necessity in relation to something else.
  • C. hasCommercialImportance chosen
    Indicates that something possesses economic or business value significant enough to impact trade, revenue, or market activity.
  • D. peakImportance
    Indicates that something reaches or represents the highest level of importance within a given context or timeframe.
  • E. coreMarket
    Indicates that an entity serves as the primary or most important market for another entity’s products, services, or activities.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf810e248190a060481004503f96 completed April 12, 2026, 2:43 p.m.
PD Predicate disambiguation batch_69dbae0b63748190b5e207f84b2532ea completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:43 p.m.