Triple
T7326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Technological Education |
E144
|
entity |
| Predicate | eligibleApplicant |
P84
|
FINISHED |
| Object | two-year colleges |
—
|
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: two-year colleges | Statement: [Advanced Technological Education, eligibleApplicant, two-year colleges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibleApplicant Context triple: [Advanced Technological Education, eligibleApplicant, two-year colleges]
-
A.
eligibility
chosen
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
-
B.
admittedToUnionOn
Indicates that an entity (typically a state or region) was formally accepted and incorporated into a union or federation on a specific date.
-
C.
grantedTo
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
-
D.
offersDegree
Indicates that an institution or program provides a specific academic degree as an available qualification.
-
E.
appointedBy
Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a241a55ac081909e95b71c97db8140 |
completed | Feb. 28, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69a23fe1cf38819080ea56c40bf2632e |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.