Triple
T2566778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperator |
E57368
|
entity |
| Predicate | roleInRepublic |
P40240
|
FINISHED |
| Object | title acclaimed by troops after a major victory |
—
|
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: title acclaimed by troops after a major victory | Statement: [Imperator, roleInRepublic, title acclaimed by troops after a major victory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInRepublic Context triple: [Imperator, roleInRepublic, title acclaimed by troops after a major victory]
-
A.
roleInCongress
Indicates the specific position or function an individual holds within a legislative congress.
-
B.
roleInChecksAndBalances
Indicates the part an entity plays within a system of checks and balances, such as how it constrains, oversees, or is constrained by other entities.
-
C.
ethnicRole
Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
-
D.
roleInCouncil
Indicates that an entity holds a specific position or function within a council or governing body.
-
E.
legislativeRole
Indicates that an entity holds or performs a specific official position, function, or duty within a legislative body or lawmaking process.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3602ed08190aad0f9c7ac577eb0 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0cc8d308190ae7aa32b8f5ae2e5 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1aa13a08190a8757c017d8a2478 |
completed | March 7, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:48 p.m.