Triple
T23982839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centenario gold coin |
E604551
|
entity |
| Predicate | fineGoldContent |
P154129
|
FINISHED |
| Object | 37.5 grams |
—
|
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: 37.5 grams | Statement: [Centenario gold coin, fineGoldContent, 37.5 grams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fineGoldContent Context triple: [Centenario gold coin, fineGoldContent, 37.5 grams]
-
A.
standardGoldContent
Indicates the specified standard or required amount of gold contained in something, typically as a measure of purity or value.
-
B.
previousGoldPurity
Indicates that one entity represents the gold purity value that applied to another entity at an earlier time or in a prior state.
-
C.
nobleMetal
Indicates that the subject is classified as a noble (chemically inert and corrosion-resistant) metal.
-
D.
higherSilverContentThan
Indicates that one entity has a greater amount or proportion of silver content than another entity.
-
E.
changedSilverContentOf
Indicates that one entity altered the amount or proportion of silver contained in another entity.
- 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2bf02fc8190bebd59f149e0bbfc |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 9:29 p.m.