Triple
T27230754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Associate in Science |
E682146
|
entity |
| Predicate | educationPathway |
P123046
|
FINISHED |
| Object | workforce preparation |
—
|
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: workforce preparation | Statement: [Associate in Science, educationPathway, workforce preparation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationPathway Context triple: [Associate in Science, educationPathway, workforce preparation]
-
A.
educationalPathway
chosen
Indicates the sequence or structure of educational steps, programs, or qualifications that connect one stage of learning or training to another.
-
B.
educationAspiration
Indicates an individual's intended or desired level of education or educational achievement.
-
C.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
-
D.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
E.
educationalField
Indicates the academic or disciplinary area in which an educational activity, program, or qualification is focused.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 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, 9:46 a.m.