Triple

T2303739
Position Surface form Disambiguated ID Type / Status
Subject solidus E51789 entity
Predicate typicalFineness P14349 FINISHED
Object about 95–98 percent gold 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: about 95–98 percent gold | Statement: [solidus, typicalFineness, about 95–98 percent gold]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalFineness
Context triple: [solidus, typicalFineness, about 95–98 percent gold]
  • A. standardGoldContent chosen
    Indicates the specified standard or required amount of gold contained in something, typically as a measure of purity or value.
  • B. previousGoldPurity
    Indicates that one entity represents the gold purity value that applied to another entity at an earlier time or in a prior state.
  • C. associatedMetal
    Indicates a relationship where one entity is linked or connected to a particular metal, such as by composition, usage, origin, or symbolic association.
  • D. caratWeight
    Indicates the weight of a gemstone or diamond, measured in carats, associated with an item or entity.
  • E. silverContentStandard
    Indicates the standard or required amount of silver content specified for something, such as a material, product, or item.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abcbabf01081908db3b42bc7c60444 completed March 7, 2026, 6:54 a.m.
PD Predicate disambiguation batch_69abc58ad33c8190b8d68af41b6f5e07 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:49 p.m.