Triple
T10509725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American University of Paris |
E247879
|
entity |
| Predicate | tuitionFeeStatus |
P2737
|
FINISHED |
| Object | private tuition-funded |
—
|
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: private tuition-funded | Statement: [American University of Paris, tuitionFeeStatus, private tuition-funded]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tuitionFeeStatus Context triple: [American University of Paris, tuitionFeeStatus, private tuition-funded]
-
A.
tuitionFeeType
chosen
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).
-
B.
tuitionFee
Indicates the amount of money that must be paid for instruction or enrollment in an educational program.
-
C.
isTuitionFreeFor
Indicates that one entity does not require another entity to pay tuition fees for access, enrollment, or participation.
-
D.
tuitionPolicy
Indicates the rules or guidelines governing how tuition is determined, charged, or managed for an educational program or institution.
-
E.
currencyOfTuitionFees
Indicates the currency in which an institution’s tuition fees are denominated and charged.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b359ac8190b3683cc6b9c70a71 |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb919ea08190bcc1193e2014d437 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:27 p.m.