Triple
T5422450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vocabolario degli Accademici della Crusca |
E121283
|
entity |
| Predicate | secondEditionYears |
P19561
|
FINISHED |
| Object | 1623 |
—
|
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: 1623 | Statement: [Vocabolario degli Accademici della Crusca, secondEditionYears, 1623]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondEditionYears Context triple: [Vocabolario degli Accademici della Crusca, secondEditionYears, 1623]
-
A.
publicationYearOfSecondEdition
chosen
Indicates the year in which the second edition of a work was published.
-
B.
secondSeriesPublicationYear
Indicates the year in which the second series or installment of a work was published.
-
C.
secondGenerationYears
Indicates the span of years during which the second generation of something (e.g., a product, system, or lineage) is active, relevant, or in effect.
-
D.
secondGenerationStartYear
Indicates the calendar year in which the second generation of something (e.g., a product, model, or series) begins.
-
E.
secondInstallmentReleaseYear
Indicates the year in which the second installment of a series or sequence is released.
- 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_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. |
Created at: March 20, 2026, 2:06 p.m.