Triple

T2792179
Position Surface form Disambiguated ID Type / Status
Subject gold dollar E61954 entity
Predicate mintLocation P11667 FINISHED
Object Charlotte Mint E16640 NE 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: Charlotte Mint | Statement: [gold dollar, mintLocation, Charlotte Mint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Mint
Context triple: [gold dollar, mintLocation, Charlotte Mint]
  • A. Charlotte Mint chosen
    Charlotte Mint was a 19th-century branch of the U.S. Mint in North Carolina that primarily produced gold coins from locally mined gold before the Civil War.
  • B. Charlotte York
    Charlotte York is a prim, romantic, and traditional art dealer and one of the four central female protagonists in the Sex and the City franchise.
  • C. Charlotte Greenwood
    Charlotte Greenwood was an American actress, comedian, and dancer best known for her lanky physical comedy and memorable supporting roles in stage and film musicals.
  • D. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • E. Carol
    Carol is a feminine given name commonly used in English-speaking countries, often associated with figures in entertainment and literature.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abe0895e5881909702e69aaee5c425 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc65ebe788190859012e930918b05 completed March 10, 2026, 7:21 a.m.
Created at: March 6, 2026, 9:58 p.m.