Triple
T10695157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catedral station |
E252116
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object | SUBE |
E191067
|
NE FINISHED |
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: SUBE | Statement: [Catedral station, fareSystem, SUBE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SUBE Context triple: [Catedral station, fareSystem, SUBE]
-
A.
SUBE card
chosen
The SUBE card is a rechargeable contactless smart card used as an integrated electronic payment system for public transportation across Buenos Aires and other parts of Argentina.
-
B.
Subte
Subte is the rapid transit metro system serving Buenos Aires, Argentina, and one of the oldest underground rail networks in Latin America.
-
C.
Transantiago
Transantiago was the former name of Santiago, Chile’s integrated public transportation system, encompassing its bus and metro networks.
-
D.
Buenos Aires Premetro
Buenos Aires Premetro is a light rail feeder system in Buenos Aires that connects outlying neighborhoods to the city’s main subway network.
-
E.
Metrobús Buenos Aires
Metrobús Buenos Aires is a bus rapid transit (BRT) system in Buenos Aires that uses dedicated lanes and priority measures to improve the speed and reliability of urban bus services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd39c3788190bb7cd0acf8b6efdd |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998da1738819099a9090c3e8badc9 |
completed | April 11, 2026, 12:42 a.m. |
Created at: April 8, 2026, 9:11 p.m.