Triple
T11398116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USP |
E270032
|
entity |
| Predicate | isTuitionFreeForUndergraduates |
P67508
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [USP, isTuitionFreeForUndergraduates, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTuitionFreeForUndergraduates Context triple: [USP, isTuitionFreeForUndergraduates, true]
-
A.
isTuitionFreeFor
chosen
Indicates that one entity does not require another entity to pay tuition fees for access, enrollment, or participation.
-
B.
hasUndergraduatePrograms
Indicates that an educational institution offers one or more undergraduate-level academic programs.
-
C.
isPrimaryUndergraduateCollegeFor
Indicates that one institution serves as the main undergraduate college or school for a given entity (such as a university or student population).
-
D.
tuitionFeeType
Indicates the category or structure of tuition fees that applies to an entity (such as full-time, part-time, in-state, out-of-state, or other fee types).
-
E.
tuitionPolicy
Indicates the rules or guidelines governing how tuition is determined, charged, or managed for an educational program or institution.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80019d3d48190a2f473deb6eae33a |
completed | April 9, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69d7e70b228c8190b87f5101fd683788 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.