Triple

T4281157
Position Surface form Disambiguated ID Type / Status
Subject Sheffield plate E97151 entity
Predicate notableRisk P16293 FINISHED
Object overpolishing can expose copper core 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: overpolishing can expose copper core | Statement: [Sheffield plate, notableRisk, overpolishing can expose copper core]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableRisk
Context triple: [Sheffield plate, notableRisk, overpolishing can expose copper core]
  • A. notableSafety
    Indicates that an entity is recognized for having significant safety characteristics, performance, or impact relative to others.
  • B. riskType
    Indicates the category or nature of risk associated with an entity, event, or relationship.
  • C. riskFeature
    Indicates that one entity possesses or exhibits a characteristic, condition, or attribute that increases the likelihood or severity of a negative outcome for another entity or situation.
  • D. hasNotableHazard chosen
    Indicates that an entity is associated with a significant risk, danger, or harmful condition that is noteworthy or exceptional.
  • E. riskBasis
    Indicates the underlying factor, condition, or rationale that forms the basis for assessing or assigning risk in a given context.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35037b654819087abbb5ea231eefd completed March 12, 2026, 11:45 p.m.
PD Predicate disambiguation batch_69b347fc4c0c8190a7fcd814e27308a5 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:07 p.m.