Triple
T31086994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varela station |
E792268
|
entity |
| Predicate | extensionContinuedTo |
P162796
|
FINISHED |
| Object | Plaza de los Virreyes - Eva Perón 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: Plaza de los Virreyes - Eva Perón station | Statement: [Varela station, extensionContinuedTo, Plaza de los Virreyes - Eva Perón station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: extensionContinuedTo Context triple: [Varela station, extensionContinuedTo, Plaza de los Virreyes - Eva Perón station]
-
A.
extendsContinuouslyTo
chosen
Indicates that one entity stretches or reaches from its starting point to another entity without interruption or breaks along the way.
-
B.
extendedIn
Indicates that one entity continues, prolongs, or expands the scope, duration, or range of another entity.
-
C.
extendedOn
Indicates that one entity continues, prolongs, or expands the duration, scope, or effect of another entity beyond its original limit.
-
D.
continuesFor
Indicates that an event, state, or process persists or remains in effect for a specified duration or period.
-
E.
extendedFor
Indicates that something has been lengthened in duration, scope, or extent specifically for the benefit or use of 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_69f224ce48348190bd0fc23f656ed683 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695fdfde881908a21a8a34c4a6be2 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
Created at: April 29, 2026, 9:02 p.m.