Triple
T10770689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corpus Hermeticum |
E254065
|
entity |
| Predicate | firstLatinTranslationDate |
P95880
|
FINISHED |
| Object | 1463 |
—
|
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: 1463 | Statement: [Corpus Hermeticum, firstLatinTranslationDate, 1463]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLatinTranslationDate Context triple: [Corpus Hermeticum, firstLatinTranslationDate, 1463]
-
A.
firstEnglishTranslationYear
Indicates the year in which an entity was first translated into English.
-
B.
dateOfTranslation
Indicates the specific date on which a translation of a work or text was completed or officially produced.
-
C.
firstMajorEuropeanTranslationBy
Indicates that the object is the first major European-language translation produced by the subject.
-
D.
firstMajorEuropeanTranslationPublicationPeriod
Indicates the time period during which the first major European-language translation of a work was published.
-
E.
centuryOfTranslation
Indicates the century during which a translation of a work or text was produced.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d732314bcc8190980c6f698f64ccf5 |
completed | April 9, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69d6f31455648190b5c24690487b1b54 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:16 p.m.