Triple
T372765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Württemberg |
E8303
|
entity |
| Predicate | statusInGermanEmpire |
P8695
|
FINISHED |
| Object | federal 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: federal monarchy | Statement: [Kingdom of Württemberg, statusInGermanEmpire, federal monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInGermanEmpire Context triple: [Kingdom of Württemberg, statusInGermanEmpire, federal monarchy]
-
A.
legalStatusAfterWar
Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
-
B.
monarchyStatus
chosen
Indicates whether an entity is a monarchy and, if so, what specific monarchical status or type it holds.
-
C.
unificationDate
Indicates the date on which two or more previously separate entities were formally unified into a single entity.
-
D.
statusAfterWWII
Indicates the condition, role, or classification an entity had following the end of World War II.
-
E.
countryOccupied
Indicates that one country has taken control of and is occupying the territory of another country, typically through military or coercive means.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec018d508190b5687a9ba90b3092 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e960d880819084b3df4e5137a1e2 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.