Triple

T2578100
Position Surface form Disambiguated ID Type / Status
Subject Bancor E57023 entity
Predicate mechanismIncluded P8166 FINISHED
Object automatic penalties for surplus countries 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: automatic penalties for surplus countries | Statement: [Bancor, mechanismIncluded, automatic penalties for surplus countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mechanismIncluded
Context triple: [Bancor, mechanismIncluded, automatic penalties for surplus countries]
  • A. hasMechanism chosen
    Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
  • B. mechanicalCompatibility
    Indicates that two entities can function together properly from a mechanical standpoint, without interference, damage, or performance issues.
  • C. replacedOrComplementedMechanism
    Indicates that one mechanism has been superseded by, or now functions alongside as a complement to, another mechanism.
  • D. backedByMechanism
    Indicates that something is supported, enabled, or made possible by an underlying mechanism or system.
  • E. hardwareIncluded
    Indicates that certain hardware components are provided or come bundled together with another item or product.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3a86f9881908df29a7caaf9a7df completed March 7, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69abd0cfeae08190aed03866ba071c5c completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:49 p.m.