Triple
T13270135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrienne Arsht Center Metromover station |
E316033
|
entity |
| Predicate | fareFree |
P31367
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Adrienne Arsht Center Metromover station, fareFree, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareFree Context triple: [Adrienne Arsht Center Metromover station, fareFree, yes]
-
A.
freeFrom
Indicates that one entity does not contain, is not affected by, or is exempt from another specified entity, condition, or constraint.
-
B.
isFreeOfCharge
chosen
Indicates that no payment or fee is required for the associated action, service, or item.
-
C.
fareDiscount
Indicates that a reduced price is applied to a standard fare for a product or service.
-
D.
freedBy
Indicates that an entity is released or liberated as a result of an action performed by another entity.
-
E.
fare
Indicates the price or cost required for a person or thing to be transported by a particular mode of travel or service.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:26 p.m.