Triple
T11716927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carloman of Bavaria |
E278522
|
entity |
| Predicate | reignStartAsKingOfBavaria |
P100943
|
FINISHED |
| Object | 865 |
—
|
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: 865 | Statement: [Carloman of Bavaria, reignStartAsKingOfBavaria, 865]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignStartAsKingOfBavaria Context triple: [Carloman of Bavaria, reignStartAsKingOfBavaria, 865]
-
A.
reignAsDukeOfBavariaFrom
Indicates that a person held and exercised the title and authority of Duke of Bavaria starting from a specified time.
-
B.
reignAsDukeOfBavariaTo
Indicates that one entity holds and exercises the title and authority of Duke of Bavaria over another entity (typically a territory or domain).
-
C.
reignStartAsKingOfEastFrancia
Indicates the date or event when an individual began their reign as king of East Francia.
-
D.
reignAsKingOfGermanyStart
Indicates the time point or event at which an individual begins their reign as King of Germany.
-
E.
reignStartAsKingOfBohemia
Indicates the date or event marking when an individual began their reign as King of Bohemia.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4c10d988190842acd824135cf15 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:40 p.m.