Triple
T25708727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkspolizei |
E644669
|
entity |
| Predicate | hadTrainingInstitution |
P2858
|
FINISHED |
| Object | Volkspolizei officer schools |
—
|
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: Volkspolizei officer schools | Statement: [Volkspolizei, hadTrainingInstitution, Volkspolizei officer schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadTrainingInstitution Context triple: [Volkspolizei, hadTrainingInstitution, Volkspolizei officer schools]
-
A.
trainingInstitution
chosen
Indicates that one entity serves as the institution or organization where another entity receives training or education.
-
B.
hasTrainedAt
Indicates that an entity has received training, education, or instruction at a specified place or institution.
-
C.
hasFurtherEducationInstitution
Indicates that an entity is associated with, or has access to, a further education institution (such as a college or post-secondary training provider).
-
D.
hadInstitution
Indicates that an entity was affiliated with, operated within, or was served by a particular institution during some period of time.
-
E.
formerlyHadEducationalInstitution
Indicates that an entity once hosted or contained a particular educational institution, but that institution is no longer present or active there.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc1385c4819082eff6432380dd2c |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f480824a1c81908a8a492eedbc2596 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 9:08 p.m.