Triple
T1906522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scipio Africanus |
E38016
|
entity |
| Predicate | censorshipYear |
P33844
|
FINISHED |
| Object | 199 BC |
—
|
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: 199 BC | Statement: [Scipio Africanus, censorshipYear, 199 BC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: censorshipYear Context triple: [Scipio Africanus, censorshipYear, 199 BC]
-
A.
suppressionYear
Indicates the year in which the referenced activity, expression, or entity was formally suppressed, halted, or forcibly discontinued.
-
B.
claimedYear
Indicates the year that is asserted or reported as being associated with an event, status, or fact, regardless of whether it is verified.
-
C.
yearOfPassage
Indicates the specific calendar year in which a law, bill, or formal measure was officially passed or enacted.
-
D.
banYear
Indicates the year in which a ban was enacted or came into effect on the related entity or activity.
-
E.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafe9f8b0819086d8f6288511c66d |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb34c4a64819096e12b152b84c334 |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:35 p.m.