Triple
T9381455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hereditary Princess of Bavaria |
E225793
|
entity |
| Predicate | typeOfSuccessionContext |
P88626
|
FINISHED |
| Object | hereditary monarchy |
—
|
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: hereditary monarchy | Statement: [Hereditary Princess of Bavaria, typeOfSuccessionContext, hereditary monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSuccessionContext Context triple: [Hereditary Princess of Bavaria, typeOfSuccessionContext, hereditary monarchy]
-
A.
successorType
Indicates the specific kind or category of successor relationship that holds between one entity and the next in a sequence or hierarchy.
-
B.
successorContext
Indicates that one context directly follows and continues from another in a sequence or process.
-
C.
successorPowerContext
Indicates that one entity holds or exercises power or authority as a successor within a particular contextual or situational framework.
-
D.
successionRelation
Indicates that one entity follows another in an ordered sequence, such as in time, position, or rank.
-
E.
successionDefinedBy
Indicates that the rules, order, or conditions of succession for one entity are determined or specified by another entity.
- 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50be52248190bc7cd9deb95a1ef8 |
completed | April 1, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69cca53bd6ec81909bf403ce304e5c08 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89b3368819087a3d69270c1f185 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:44 p.m.