Triple
T7501906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lincoln Technical Institute |
E177279
|
entity |
| Predicate | hasStudentOutcomeFocus |
P73608
|
FINISHED |
| Object | employment in field of study |
—
|
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: employment in field of study | Statement: [Lincoln Technical Institute, hasStudentOutcomeFocus, employment in field of study]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudentOutcomeFocus Context triple: [Lincoln Technical Institute, hasStudentOutcomeFocus, employment in field of study]
-
A.
studentEngagementFocus
Indicates that the primary emphasis of an activity, strategy, or context is on promoting, sustaining, or enhancing students’ active engagement.
-
B.
programOutcome
Indicates the resulting state, effect, or consequence produced by executing or completing a program.
-
C.
hasAlumniOutcome
chosen
Indicates that an entity has a specific outcome or post-completion status associated with its alumni.
-
D.
hasStudentEnrollment
Indicates that a person or entity is enrolled as a student in a particular course, program, or educational institution.
-
E.
hasStudentMobility
Indicates that there is a relationship in which students move or participate across different institutions, locations, or programs (e.g., through exchanges, study abroad, or similar mobility activities).
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:44 p.m.