Triple
T12037988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaccines for Adults program |
E286588
|
entity |
| Predicate | offersCost |
P30777
|
FINISHED |
| Object | low cost |
—
|
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 | Statement: [Vaccines for Adults program, offersCost, low cost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersCost Context triple: [Vaccines for Adults program, offersCost, low cost]
-
A.
offersGrade
Indicates that one entity assigns or provides an academic grade or evaluation to another entity.
-
B.
offersPricingModel
chosen
Indicates that one entity provides or makes available a specific pricing model to another entity or for a particular offering.
-
C.
offersObject
Indicates that a subject provides or makes available a specific object to another party as an offer.
-
D.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
-
E.
offersSpeedTier
Indicates that a provider makes a specific predefined speed level or tier available as part of its service offerings.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.