Triple
T31311629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merovingian denier |
E798477
|
entity |
| Predicate | circulationMedium |
P171563
|
FINISHED |
| Object | hand-to-hand coinage |
—
|
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: hand-to-hand coinage | Statement: [Merovingian denier, circulationMedium, hand-to-hand coinage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: circulationMedium Context triple: [Merovingian denier, circulationMedium, hand-to-hand coinage]
-
A.
circulationFormat
Indicates the medium or format in which an item is made available for circulation or lending (e.g., physical, digital, audio).
-
B.
applicableMedium
Indicates that a particular medium or material is suitable for use with, or can be effectively applied by, the referenced entity.
-
C.
partOfMedium
Indicates that something is a component or constituent element within a larger medium or material.
-
D.
manuscriptMedium
Indicates the material or physical medium on which a manuscript is written or produced.
-
E.
mediumOfExistence
Indicates the medium, environment, or substrate within which an entity exists, manifests, or is realized.
- F. None of above. chosen
Provenance (4 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 29, 2026, 9:15 p.m.