Triple

T27151379
Position Surface form Disambiguated ID Type / Status
Subject William Wood's halfpence E682397 entity
Predicate mintingLocation P11667 FINISHED
Object England NE NERFINISHED

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: England | Statement: [William Wood's halfpence, mintingLocation, England]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mintingLocation
Context triple: [William Wood's halfpence, mintingLocation, England]
  • A. reasonForMintLocation
    Indicates that the specified location is the place where something (typically currency or tokens) is created or issued.
  • B. mintLocations chosen
    Indicates the locations where something is minted, such as coins, tokens, or other items produced through a minting process.
  • C. mintedInCity
    Indicates that a coin or similar item was produced or officially created at a specific city.
  • D. typeOfMint
    Indicates that one entity is a specific kind or variety of mint relative to another entity.
  • E. mintedFrom
    Indicates that a newly created token, coin, or digital asset originates from or is derived directly from a specified source asset or input.
  • 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_69eefaceb2a08190b9659b7f730629f5 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f624c9aa708190adab4a2808da4811 completed May 2, 2026, 4:22 p.m.
PD Predicate disambiguation batch_69f61b40f02081909bd9c3ea73249163 completed May 2, 2026, 3:41 p.m.
Created at: April 27, 2026, 9:14 a.m.