Triple
T19474051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martim Moniz metro station |
E487196
|
entity |
| Predicate | ticketingSystem |
P3383
|
FINISHED |
| Object | Viva Viagem |
—
|
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: Viva Viagem | Statement: [Martim Moniz metro station, ticketingSystem, Viva Viagem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viva Viagem Context triple: [Martim Moniz metro station, ticketingSystem, Viva Viagem]
-
A.
Viva Viagem
chosen
Viva Viagem is a rechargeable contactless smart card used for public transportation fares in the Lisbon metropolitan area.
-
B.
Bon Viatge
Bon Viatge is a tram terminus station on Barcelona’s Trambaix light rail network, serving the Santa Coloma de Cervelló area.
-
C.
Rocha Fora
Rocha Fora is a small settlement associated with the municipality of Mosteiros, likely located on the island of Fogo in Cape Verde.
-
D.
Boa Viagem
Boa Viagem is a famous beachfront neighborhood in Recife, Brazil, known for its long urban beach, high-rise skyline, and vibrant tourist scene.
-
E.
Venham Mais Cinco
Venham Mais Cinco is a politically charged Portuguese song by José Afonso that became emblematic of resistance to the Estado Novo dictatorship.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633ef69508190b0d71ef663ba8977 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.