Triple
T23218550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurpfalz |
E580817
|
entity |
| Predicate | FrederickVBecame |
P151402
|
FINISHED |
| Object | King of Bohemia |
—
|
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: King of Bohemia | Statement: [Kurpfalz, FrederickVBecame, King of Bohemia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FrederickVBecame Context triple: [Kurpfalz, FrederickVBecame, King of Bohemia]
-
A.
rulingMonarchOfVictor
Indicates that one entity is the reigning monarch who achieved victory over another entity, typically in a conflict or competition.
-
B.
firstMonarch
Indicates that the subject is the first monarch (initial ruler) of the object polity or domain.
-
C.
FrederickAssessment
Indicates that an entity (typically Frederick) performs, records, or is associated with an evaluation or assessment of another entity or situation.
-
D.
successorAsKingOfTheFranks
Indicates that one person became the next king of the Franks after another person.
-
E.
successorAsKingOfBavaria
Indicates that one person became the next king of Bavaria following another person’s reign.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191675de48190858907872a065c56 |
completed | April 29, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:08 p.m.