Triple
T7133896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Netherlands Marechaussee |
E166255
|
entity |
| Predicate | hasTrainingCentreIn |
P9852
|
FINISHED |
| Object | Apeldoorn |
—
|
NE NERFINISHED |
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: Apeldoorn | Statement: [Royal Netherlands Marechaussee, hasTrainingCentreIn, Apeldoorn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrainingCentreIn Context triple: [Royal Netherlands Marechaussee, hasTrainingCentreIn, Apeldoorn]
-
A.
hasFootballTrainingCentre
Indicates that an entity possesses or hosts a facility specifically designated for football training.
-
B.
trainingFacilityLocation
chosen
Indicates the place or site where a training facility is situated or operates.
-
C.
hasResearchCentersIn
Indicates that an entity maintains or operates research centers located within a specified place or region.
-
D.
hasCircuitCentre
Indicates that an entity has, is associated with, or is organized around a specific circuit center that serves as its focal or central point.
-
E.
hasInformationCenterFor
Indicates that one entity serves as an information center dedicated to providing information or services related to 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e68f15bc8190a4d82b8ee388f497 |
completed | March 27, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c932888190b125ca3785b18553 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:45 p.m.