Triple
T38281666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Aspectibus |
E1022094
|
entity |
| Predicate | periodOfTranslation |
P128414
|
FINISHED |
| Object | 12th century |
—
|
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: 12th century | Statement: [De Aspectibus, periodOfTranslation, 12th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodOfTranslation Context triple: [De Aspectibus, periodOfTranslation, 12th century]
-
A.
eraOfTranslation
chosen
Indicates the historical period or era during which a given work was translated.
-
B.
dateOfTranslation
Indicates the specific date on which a translation of a work or text was completed or officially produced.
-
C.
centuryOfTranslation
Indicates the century during which a translation of a work or text was produced.
-
D.
placeOfTranslation
Indicates the location where a translation activity took place or was produced.
-
E.
laterTranslatedAs
Indicates that something was translated at a later time into a different language, form, or version under a specified title or expression.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:30 p.m.