Triple
T35789715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaunchCode |
E1034659
|
entity |
| Predicate | educationCostModel |
P17476
|
FINISHED |
| Object | no-cost to participants |
—
|
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: no-cost to participants | Statement: [LaunchCode, educationCostModel, no-cost to participants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationCostModel Context triple: [LaunchCode, educationCostModel, no-cost to participants]
-
A.
educationalModel
Indicates that one entity serves as an educational model, framework, or paradigm that guides or structures the teaching, learning, or training practices of another entity.
-
B.
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).
-
C.
tuitionRequired
Indicates that a payment for instruction or enrollment is required for participation in the associated program, course, or institution.
-
D.
costModel
chosen
Indicates the pricing or cost-structure relationship applied to an entity, defining how its costs are calculated or charged.
-
E.
tuitionBased
Indicates that something operates, is determined, or is structured based on the amount or presence of tuition fees.
- 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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.