Triple
T12513859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baseball5 |
E299146
|
entity |
| Predicate | costLevel |
P8208
|
FINISHED |
| Object | low-cost sport |
—
|
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: low-cost sport | Statement: [Baseball5, costLevel, low-cost sport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: costLevel Context triple: [Baseball5, costLevel, low-cost sport]
-
A.
costModel
Indicates the pricing or cost-structure relationship applied to an entity, defining how its costs are calculated or charged.
-
B.
estimatedCost
Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
-
C.
costToUser
Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
-
D.
costImpact
Indicates the effect that one entity or action has on the cost associated with another entity or process.
-
E.
budgetLevel
chosen
Indicates the relative amount of financial resources allocated or available for something, typically categorized by level (e.g., low, medium, high).
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.