Triple
T5422451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vocabolario degli Accademici della Crusca |
E121283
|
entity |
| Predicate | thirdEditionYears |
P63570
|
FINISHED |
| Object | 1691 |
—
|
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: 1691 | Statement: [Vocabolario degli Accademici della Crusca, thirdEditionYears, 1691]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdEditionYears Context triple: [Vocabolario degli Accademici della Crusca, thirdEditionYears, 1691]
-
A.
thirdSeriesPublicationYear
Indicates the year in which the third installment of a series was published.
-
B.
thirdGenerationReleaseDate
Indicates the date on which the third generation of an item, product, or entity was officially released.
-
C.
thirdPartPublicationYear
Indicates the year in which the third part of a multi-part work was published.
-
D.
laterTypicalEditionYear
Indicates that one edition’s typical publication year occurs after that of another edition.
-
E.
numberOfItemsInThirdEdition
Indicates the quantity of items contained in the third edition of a given work or collection.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87ec45c48190a8a25bf582b02440 |
completed | March 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69bd8469f5e48190bbe5c8bdfe8925ea |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8741e8588190863fd5cfb559136d |
completed | March 20, 2026, 5:43 p.m. |
Created at: March 20, 2026, 2:06 p.m.