Triple
T685902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fidei Defensor |
E13281
|
entity |
| Predicate | abbreviationUsage |
P16497
|
FINISHED |
| Object | inscriptions on coins and medals |
—
|
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: inscriptions on coins and medals | Statement: [Fidei Defensor, abbreviationUsage, inscriptions on coins and medals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbreviationUsage Context triple: [Fidei Defensor, abbreviationUsage, inscriptions on coins and medals]
-
A.
abbreviation
Indicates that one term is a shortened or contracted form that stands for another, longer expression.
-
B.
establishesAbbreviation
Indicates that one entity defines or introduces an abbreviated form that stands for another entity.
-
C.
usedTerm
chosen
Indicates that one entity employed, referenced, or applied a particular term in some context.
-
D.
notAbbreviationOf
Indicates that one term is explicitly asserted not to be an abbreviation or shortened form of another term.
-
E.
usageType
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0f55f7481909e052a25bd12d455 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d2048d48190ab99ab59accb6909 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.