Triple
T37890358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis of Saxe-Gotha-Altenburg |
E945114
|
entity |
| Predicate | typeOfMonarchicContext |
P204458
|
FINISHED |
| Object | ducal principality |
—
|
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: ducal principality | Statement: [Louis of Saxe-Gotha-Altenburg, typeOfMonarchicContext, ducal principality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMonarchicContext Context triple: [Louis of Saxe-Gotha-Altenburg, typeOfMonarchicContext, ducal principality]
-
A.
monarchicContext
Indicates that the relationship or action occurs within, is shaped by, or pertains to a monarchical system of rule or authority.
-
B.
currentMonarchicContext
Indicates the prevailing circumstances, conditions, or framework under which a monarchy currently exists or operates.
-
C.
monarchType
Indicates the specific kind or category of monarchy or monarch associated with an entity.
-
D.
monarchTitleContext
Indicates the specific situational or historical context in which a monarch’s title is held, used, or recognized.
-
E.
typeOfMonarchyTitle
Indicates that a given title is a specific type or category of monarchy-related title (e.g., king, queen, emperor) within a monarchical system.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:19 p.m.