Triple
T31086993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varela station |
E792268
|
entity |
| Predicate | openedAsTerminusOfExtensionFrom |
P70253
|
FINISHED |
| Object | Avenida La Plata station |
—
|
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: Avenida La Plata station | Statement: [Varela station, openedAsTerminusOfExtensionFrom, Avenida La Plata station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsTerminusOfExtensionFrom Context triple: [Varela station, openedAsTerminusOfExtensionFrom, Avenida La Plata station]
-
A.
openedAsTerminus
chosen
Indicates that a transportation line or route was initially opened with this location serving as its end-point terminus.
-
B.
extensionTerminus
Indicates the endpoint or final limit to which something is extended or continues.
-
C.
extendedFrom
Indicates that one entity is derived by adding to or building upon the scope, content, or structure of another entity.
-
D.
alsoExtendedInto
Indicates that something which extends into one area, domain, or period additionally extends into another area, domain, or period.
-
E.
formerExtension
Indicates that one entity previously served as an extension or subsidiary part of another entity, but no longer holds that status.
- 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_69f224ce48348190bd0fc23f656ed683 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 29, 2026, 9:02 p.m.