Triple
T29599092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crown Prince of Bavaria |
E754389
|
entity |
| Predicate | successorInRank |
P58291
|
FINISHED |
| Object | other princes of Bavaria |
—
|
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: other princes of Bavaria | Statement: [Crown Prince of Bavaria, successorInRank, other princes of Bavaria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorInRank Context triple: [Crown Prince of Bavaria, successorInRank, other princes of Bavaria]
-
A.
successorRank
chosen
Indicates that one entity holds the next higher position or rank in an ordered hierarchy relative to another entity.
-
B.
successorInPractice
Indicates that one entity has taken over the role, position, or function of another in actual practice, even if not formally or officially designated as its successor.
-
C.
successorInLineup
Indicates that one entity immediately follows another in a specified ordered lineup or sequence.
-
D.
successorRole
Indicates that one role or position directly follows and replaces another in a sequence or organizational structure.
-
E.
successorDeterminedBy
Indicates that the identity of a successor is established or chosen according to a specified rule, process, or determining factor.
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: April 28, 2026, 6:20 p.m.