Triple
T22759068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinelândia metro station |
E562932
|
entity |
| Predicate | ticketingSystem |
P3383
|
FINISHED |
| Object | Bilhete Único |
—
|
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: Bilhete Único | Statement: [Cinelândia metro station, ticketingSystem, Bilhete Único]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bilhete Único Context triple: [Cinelândia metro station, ticketingSystem, Bilhete Único]
-
A.
Bilhete Único smart card
chosen
The Bilhete Único smart card is São Paulo’s integrated public transport fare card, allowing seamless, discounted transfers across the city’s metro, bus, and train networks.
-
B.
Boleto de Entrada
Boleto de Entrada is a studio album by Puerto Rican singer-songwriter Kany García that helped establish her prominence in Latin pop music.
-
C.
Raseedi Ticket
Raseedi Ticket is an autobiographical work by renowned Punjabi writer Amrita Pritam, reflecting on her personal life, relationships, and literary journey.
-
D.
Half Ticket
Half Ticket is a 1962 Hindi comedy film best known for its humorous storyline and performances by stars like Kishore Kumar and Madhubala.
-
E.
Kitaca
Kitaca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in Japan’s Hokkaido region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7a8ca481909953dcd6fbcc5fcf |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:25 p.m.