Triple
T34278484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederick the Fair |
E879526
|
entity |
| Predicate | pardonOrRelease |
P178735
|
FINISHED |
| Object | Treaty of Trausnitz (1325) |
—
|
NE NERFINISHED |
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: Treaty of Trausnitz (1325) | Statement: [Frederick the Fair, pardonOrRelease, Treaty of Trausnitz (1325)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pardonOrRelease Context triple: [Frederick the Fair, pardonOrRelease, Treaty of Trausnitz (1325)]
-
A.
pardonOrClemencyBy
Indicates that an authority grants a pardon or clemency to someone, forgiving or reducing their legal penalties.
-
B.
pardonStatus
Indicates whether an entity has been officially forgiven or exempted from penalties for a prior offense or violation.
-
C.
pardonDecisionBy
Indicates that a decision to grant or deny a pardon is made by a specific authority or decision-maker.
-
D.
pardonDate
Indicates the date on which an official pardon for an offense is granted or takes effect.
-
E.
pardonReason
Indicates the reason or justification for which a pardon is granted.
- 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_69f349b5f6648190b9420d94a4cd16e0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f713bfdc148190a249a7874320bab8 |
completed | May 3, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f7135fa2988190a20a94cfe616d754 |
completed | May 3, 2026, 9:20 a.m. |
Created at: May 1, 2026, 1:57 a.m.