Triple
T27058605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSc Innovation, Entrepreneurship & Management |
E684971
|
entity |
| Predicate | providesSkillsIn |
P96902
|
FINISHED |
| Object | opportunity recognition |
—
|
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: opportunity recognition | Statement: [MSc Innovation, Entrepreneurship & Management, providesSkillsIn, opportunity recognition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesSkillsIn Context triple: [MSc Innovation, Entrepreneurship & Management, providesSkillsIn, opportunity recognition]
-
A.
skilledIn
Indicates that an entity possesses ability, expertise, or proficiency in performing or using another entity (such as a task, tool, or domain).
-
B.
indicatesSkill
chosen
Indicates a relationship where one entity possesses, demonstrates, or is associated with a particular skill represented by another entity.
-
C.
killsAsPartOfJob
Indicates that one entity kills another as a regular or expected duty within their professional role or occupation.
-
D.
killsAt
Indicates that one entity causes the death of another entity at a specific time or event.
-
E.
skillSet
Indicates that an entity possesses or is associated with a particular collection of skills or competencies.
- 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_69ef14829fac8190914bef9ecc3005d7 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 27, 2026, 8:19 a.m.