Triple
T25660487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KMar |
E643362
|
entity |
| Predicate | gendarmerieModel |
P17521
|
FINISHED |
| Object | continental European |
—
|
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: continental European | Statement: [KMar, gendarmerieModel, continental European]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gendarmerieModel Context triple: [KMar, gendarmerieModel, continental European]
-
A.
guardRegiment
Indicates that one entity serves as a protective or security regiment for another entity.
-
B.
garrisonType
chosen
Indicates the specific kind or classification of military garrison associated with an entity.
-
C.
isMilitaryVariantOf
Indicates that one entity is a military-specific version or adaptation of another, typically civilian or general-purpose, entity.
-
D.
garrisonOrMobilization
Indicates that military forces are stationed at a location as a garrison or are being assembled and prepared there for mobilization.
-
E.
garrisonOrCrewType
Indicates the specific kind of garrison or crew assigned to occupy, staff, or operate a given 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_69e77e7e45648190a068ed3faa8016ea |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5faee68408190b602dc71ec5b83aa |
completed | May 2, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 6:52 p.m.