Triple
T30020367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicente López station |
E762718
|
entity |
| Predicate | connectsToTerminus |
P845
|
FINISHED |
| Object | Retiro Mitre 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: Retiro Mitre station | Statement: [Vicente López station, connectsToTerminus, Retiro Mitre station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsToTerminus Context triple: [Vicente López station, connectsToTerminus, Retiro Mitre station]
-
A.
connectsTerminus
Indicates that one entity serves as a terminus that is directly linked or joined to another entity.
-
B.
terminusConnectsTo
Indicates that a transportation route’s endpoint is directly linked or transitions to another route, line, or terminal.
-
C.
locatedAtTerminusOf
Indicates that one entity is situated at the end point or final terminus of another entity, such as a route, line, or path.
-
D.
connectsTo
chosen
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
E.
hasTerminusIn
Indicates that something (such as a route, line, or path) ends or has its final stopping point at a specified location.
- 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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: April 29, 2026, 6:47 p.m.