Triple
T2059538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FE Industrial and Systems |
E45754
|
entity |
| Predicate | hasTargetDegree |
P6482
|
FINISHED |
| Object | bachelor’s degree in industrial engineering |
—
|
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: bachelor’s degree in industrial engineering | Statement: [FE Industrial and Systems, hasTargetDegree, bachelor’s degree in industrial engineering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTargetDegree Context triple: [FE Industrial and Systems, hasTargetDegree, bachelor’s degree in industrial engineering]
-
A.
hasDegree
chosen
Indicates that an entity possesses or has been awarded a specific academic or professional degree.
-
B.
isDegreeOf
Indicates that one entity is an academic or professional degree held, pursued, or associated with another entity.
-
C.
hasTarget
Indicates that one entity is directed toward, aimed at, or intended to affect another specific entity as its target.
-
D.
hasDegreeOfFreedom
Indicates that one entity possesses a specific independent parameter or mode in which it can vary or move relative to another entity or within a system.
-
E.
typicalDegree
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9af42988190a4e977154dd10312 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.