Triple
T4024046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higher Education Facilities Act of 1963 |
E91347
|
entity |
| Predicate | targetedLevel |
P4144
|
FINISHED |
| Object | undergraduate education |
—
|
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: undergraduate education | Statement: [Higher Education Facilities Act of 1963, targetedLevel, undergraduate education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetedLevel Context triple: [Higher Education Facilities Act of 1963, targetedLevel, undergraduate education]
-
A.
trainingLevel
chosen
Indicates the degree or stage of training or skill development that an entity has attained.
-
B.
representedLevel
Indicates that one entity denotes or encodes the degree, intensity, or value (i.e., the level) of another entity or property.
-
C.
teamLevel
Indicates the hierarchical rank or tier at which a team operates within an organization, competition, or structure.
-
D.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
E.
levels
Indicates that one entity adjusts, equalizes, or smooths out the height, intensity, or degree of 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeface7a788190a0e4e549a6816f91 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:35 p.m.