Triple
T9504617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Württemberg Army |
E229230
|
entity |
| Predicate | governmentFormOfOwner |
P40139
|
FINISHED |
| Object | 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: monarchy | Statement: [Württemberg Army, governmentFormOfOwner, monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentFormOfOwner Context triple: [Württemberg Army, governmentFormOfOwner, monarchy]
-
A.
organizationTypeOfOwner
Indicates the type or category of organization that owns a given entity.
-
B.
previousLegalForm
Indicates the legal form or organizational status an entity had before its current legal form.
-
C.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
D.
governmentFormDefined
chosen
Indicates that the specific form or structure of governance for an entity has been formally specified or classified.
-
E.
majorityOwnerFrom
Indicates that one entity holds a controlling majority ownership stake originating from or associated with another entity or source.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9850fe6c8190a5a96cfae12562c6 |
completed | April 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cca567ca448190bf4bcce8ce7dd54f |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:57 p.m.