Triple
T4593989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSx Program |
E103563
|
entity |
| Predicate | typicalWorkExperienceRequired |
P22109
|
FINISHED |
| Object | significant professional experience |
—
|
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: significant professional experience | Statement: [MSx Program, typicalWorkExperienceRequired, significant professional experience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWorkExperienceRequired Context triple: [MSx Program, typicalWorkExperienceRequired, significant professional experience]
-
A.
typeOfExperience
Indicates that one entity specifies the category or nature of an experience associated with another entity.
-
B.
experienceType
chosen
Indicates the specific kind or category of experience associated with an entity or event.
-
C.
appointmentRequirement
Indicates that a particular action, service, or interaction can only occur if an appointment has been scheduled or a specified appointment condition is met.
-
D.
requiredOccupationOf
Indicates that one entity specifies the occupation or job role that is required or expected for another entity (such as a position, task, or qualification).
-
E.
requiresOffshoreExperience
Indicates that performing or qualifying for something depends on having prior experience working in an offshore environment.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd593e115081909b11149e02fe4ef3 |
completed | March 20, 2026, 2:27 p.m. |
| PD | Predicate disambiguation | batch_69bd522c811c81909aae4feadae33174 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:11 p.m.