Triple
T5465989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Schaumburg-Lippe |
E122709
|
entity |
| Predicate | hasCadetBranches |
P2906
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [House of Schaumburg-Lippe, hasCadetBranches, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCadetBranches Context triple: [House of Schaumburg-Lippe, hasCadetBranches, yes]
-
A.
hasCadetBranch
chosen
Indicates that one lineage, family, or house is a junior or offshoot branch derived from another main or senior line.
-
B.
hasCorpsOfCadets
Indicates that an institution maintains an organized corps of cadets as part of its structure or programs.
-
C.
containsMilitaryAcademy
Indicates that one entity includes or hosts a military academy within its boundaries or domain.
-
D.
hasCadetType
Indicates that an entity is associated with or classified under a specific type or category of cadet.
-
E.
isMilitarySchool
Indicates that an educational institution functions as a military school, operating under military principles, structure, or training programs.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a370a88190b5d17b8a5387138d |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.