Triple
T17759470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Württemberg-Hohenzollern |
E443330
|
entity |
| Predicate | zoneOfOccupation |
P125568
|
FINISHED |
| Object | French occupation zone in Germany |
—
|
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: French occupation zone in Germany | Statement: [Württemberg-Hohenzollern, zoneOfOccupation, French occupation zone in Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoneOfOccupation Context triple: [Württemberg-Hohenzollern, zoneOfOccupation, French occupation zone in Germany]
-
A.
occupyingForces
Indicates that one group’s military forces are present in and exercising control over a territory that is not their own, typically without the full consent of the local sovereign authority.
-
B.
occupationOfAreas
chosen
Indicates that an entity has taken control of, is holding, or is present in specific geographic areas or territories.
-
C.
regionOfConflict
Indicates that a specified region is the location where a particular conflict or dispute takes place.
-
D.
battlefieldOf
Indicates that a location is the site where a particular battle or military engagement took place.
-
E.
partOfMilitaryArea
Indicates that one entity is located within or belongs to a designated military-controlled area of another entity.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48420ad188190aeb0f4ec1d23ee5c |
completed | April 19, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:10 a.m.