Triple

T4239602
Position Surface form Disambiguated ID Type / Status
Subject American Eagle silver bullion coins E94777 entity
Predicate mintMarkLocations P11667 FINISHED
Object obverse (proof and burnished issues) 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: obverse (proof and burnished issues) | Statement: [American Eagle silver bullion coins, mintMarkLocations, obverse (proof and burnished issues)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mintMarkLocations
Context triple: [American Eagle silver bullion coins, mintMarkLocations, obverse (proof and burnished issues)]
  • A. mintLocations chosen
    Indicates the locations where something is minted, such as coins, tokens, or other items produced through a minting process.
  • B. mintMarkUsedOn
    Indicates that a particular mint mark was applied to or appears on a specific coin or numismatic item.
  • C. marksOn
    Indicates that one entity bears visible signs, traces, or imprints that have been made or left by another entity.
  • D. marksBoundaryIn
    Indicates that one entity serves as a boundary or delimiter within, or for a specific region or structure of, another entity.
  • E. reportedMarks
    Indicates that an entity has formally communicated or submitted the marks/grades of another entity (such as a student or assessment) to a relevant party or system.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e77fb5c8190b298818acb68ff63 completed March 12, 2026, 11:38 p.m.
PD Predicate disambiguation batch_69b347f587148190a1830503459939b6 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:05 p.m.