Triple
T38131440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chácara Klabin station |
E952231
|
entity |
| Predicate | lineOpeningAsTerminusOf |
P70253
|
FINISHED |
| Object | Line 2-Green |
—
|
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: Line 2-Green | Statement: [Chácara Klabin station, lineOpeningAsTerminusOf, Line 2-Green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineOpeningAsTerminusOf Context triple: [Chácara Klabin station, lineOpeningAsTerminusOf, Line 2-Green]
-
A.
openedAsTerminus
chosen
Indicates that a transportation line or route was initially opened with this location serving as its end-point terminus.
-
B.
locatedAtTerminusOf
Indicates that one entity is situated at the end point or final terminus of another entity, such as a route, line, or path.
-
C.
terminusConnectsTo
Indicates that a transportation route’s endpoint is directly linked or transitions to another route, line, or terminal.
-
D.
lineClosedUnder
Indicates that a given line is closed under a specified operation, meaning applying the operation to any elements on the line produces a result that also lies on the same line.
-
E.
connectsTerminus
Indicates that one entity serves as a terminus that is directly linked or joined to another entity.
- 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.