Triple
T36420212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Von's Vision |
E897129
|
entity |
| Predicate | providesAtLowOrNoCost |
P88285
|
FINISHED |
| Object | eye care services |
—
|
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: eye care services | Statement: [Von's Vision, providesAtLowOrNoCost, eye care services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesAtLowOrNoCost Context triple: [Von's Vision, providesAtLowOrNoCost, eye care services]
-
A.
accessibleForFreeOrPaid
Indicates that the subject can be accessed either without cost or by paying a fee.
-
B.
isLowCost
Indicates that something requires relatively little expenditure of money or resources compared to alternatives.
-
C.
isFreeOfCharge
Indicates that no payment or fee is required for the associated action, service, or item.
-
D.
providesCareRegardlessOfAbilityToPay
chosen
Indicates that one party delivers care or services to another without considering or being limited by the recipient’s ability to pay.
-
E.
isTuitionFreeFor
Indicates that one entity does not require another entity to pay tuition fees for access, enrollment, or participation.
- 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_69f76e559b10819099d6655a6e14587c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
Created at: May 3, 2026, 4:10 p.m.