Triple
T30221130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | censor (Roman Republic) |
E768346
|
entity |
| Predicate | couldIssueEdicts |
P150798
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [censor (Roman Republic), couldIssueEdicts, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: couldIssueEdicts Context triple: [censor (Roman Republic), couldIssueEdicts, yes]
-
A.
couldIssue
Indicates that one entity has the authority or ability to issue something (such as a document, command, or resource) to another entity.
-
B.
canIssueWrits
Indicates that an entity has the legal authority to issue formal writs or orders.
-
C.
mayEnact
chosen
Indicates that an entity has the authority or permission to establish, implement, or put into effect a rule, policy, or action.
-
D.
issuedAct
Indicates that an authority formally created, enacted, or put into effect a specific act, order, or legal instrument.
-
E.
numberOfEdicts
Indicates the total count of edicts associated with or issued by a given entity.
- 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_69f2247fd8b8819087fcf83cb7a05eb8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6801da3e88190a4862f59160e6832 |
completed | May 2, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 7:35 p.m.