Triple
T27239922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamenický Šenov |
E687174
|
entity |
| Predicate | hasEducationalSpecialization |
P117345
|
FINISHED |
| Object | glass arts |
—
|
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: glass arts | Statement: [Kamenický Šenov, hasEducationalSpecialization, glass arts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalSpecialization Context triple: [Kamenický Šenov, hasEducationalSpecialization, glass arts]
-
A.
hasEducationalDesignation
Indicates that an entity holds a specific educational title, status, or classification assigned by an educational system or institution.
-
B.
hasEducationalProfile
Indicates that an entity is associated with a specific educational profile, detailing its education-related characteristics, qualifications, or academic background.
-
C.
hasEducationalRole
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
-
D.
hasEducationIn
chosen
Indicates that an entity has received education, training, or formal study in a specified field, subject, or discipline.
-
E.
hasEducationalWork
Indicates that one entity is the creator, contributor, or subject of an educational work (such as a textbook, course, or instructional material) associated with 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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 10:36 a.m.