Triple
T12021398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consolação metro station |
E286156
|
entity |
| Predicate | hasPaidAreaConnection |
P65039
|
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: [Consolação metro station, hasPaidAreaConnection, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPaidAreaConnection Context triple: [Consolação metro station, hasPaidAreaConnection, yes]
-
A.
hasFarePaidArea
Indicates that an entity includes or is associated with a zone where access is restricted to users who have paid a fare.
-
B.
hasFareGateConnectionTo
chosen
Indicates that there is a direct passage or connection between two areas that is controlled or mediated by fare gates.
-
C.
paidFor
Indicates that one entity provided payment to cover the cost of something on behalf of another entity.
-
D.
hasArrivalArea
Indicates that an entity is associated with a specific area designated for arrivals, such as where incoming people or items first enter or are received.
-
E.
hasPayStatus
Indicates the current payment state or condition associated with an entity, such as whether an amount is paid, unpaid, pending, or otherwise resolved.
- 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_69d6ab45a368819084fce08bf0dc3705 |
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_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.