Triple
T14237870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borås |
E352932
|
entity |
| Predicate | hasSpecializedEducation |
P80539
|
FINISHED |
| Object | textile and fashion education |
—
|
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: textile and fashion education | Statement: [Borås, hasSpecializedEducation, textile and fashion education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpecializedEducation Context triple: [Borås, hasSpecializedEducation, textile and fashion education]
-
A.
hasSpecializedSchool
chosen
Indicates that an entity operates or is associated with a school focused on a specific field, discipline, or specialized type of education.
-
B.
hasEducationalDesignation
Indicates that an entity holds a specific educational title, status, or classification assigned by an educational system or institution.
-
C.
hasSpecialist
Indicates that one entity is associated with or assigned to a specialist entity that provides expert support, service, or oversight for it.
-
D.
hasOwnEducationSystem
Indicates that one entity possesses and administers its own distinct education system, separate from those of other entities.
-
E.
hasEducationalProfile
Indicates that an entity is associated with a specific educational profile, detailing its education-related characteristics, qualifications, or academic background.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62422e28819089e7115052a28c96 |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:08 a.m.