Triple
T5000138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonaparte Visiting the Plague-Stricken in Jaffa |
E112350
|
entity |
| Predicate | yearOfEventDepicted |
P54917
|
FINISHED |
| Object | 1799 |
—
|
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: 1799 | Statement: [Bonaparte Visiting the Plague-Stricken in Jaffa, yearOfEventDepicted, 1799]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfEventDepicted Context triple: [Bonaparte Visiting the Plague-Stricken in Jaffa, yearOfEventDepicted, 1799]
-
A.
yearDepicted
chosen
Indicates the specific year in which the subject is portrayed, represented, or set.
-
B.
yearDescribed
Indicates the year in which something (typically a species, object, or concept) was formally described or documented.
-
C.
yearCirca
Indicates that the associated year is approximate or uncertain rather than exact.
-
D.
yearExhibited
Indicates the specific year in which an entity (such as an artwork, object, or performance) was publicly exhibited or displayed.
-
E.
yearOfPassage
Indicates the specific calendar year in which a law, bill, or formal measure was officially passed or enacted.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.