Triple
T29945801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bondinho do Pão de Açúcar |
E760628
|
entity |
| Predicate | middleStation |
P168284
|
FINISHED |
| Object | Morro da Urca |
—
|
NE NERFINISHED |
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: Morro da Urca | Statement: [Bondinho do Pão de Açúcar, middleStation, Morro da Urca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: middleStation Context triple: [Bondinho do Pão de Açúcar, middleStation, Morro da Urca]
-
A.
thirdStation
Indicates that one entity is the third station in an ordered sequence or route relative to another entity.
-
B.
junctionStation
Indicates that a station functions as a junction where multiple routes or lines intersect or connect.
-
C.
secondaryRailwayStation
Indicates that a railway station functions as a secondary (non-primary) station serving a particular area, line, or settlement.
-
D.
servesAsThroughStationFor
Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
-
E.
secondStation
Indicates that one station in a sequence or route is the second station relative to another reference point or ordering.
- F. None of above. chosen
Provenance (4 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6780b3dfc8190b47ef5d8a0cfccc8 |
completed | May 2, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:24 p.m.