Triple
T19433255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eléctrico 28 |
E486167
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Prazeres |
—
|
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: Prazeres | Statement: [Eléctrico 28, passesThrough, Prazeres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prazeres Context triple: [Eléctrico 28, passesThrough, Prazeres]
-
A.
Prazeres
chosen
Prazeres is a historic neighborhood in Lisbon, Portugal, known for its traditional charm and as one of the endpoints of the iconic Tram 28 route.
-
B.
Prazeres
Prazeres is a neighborhood and district within the coastal city of Jaboatão dos Guararapes in the state of Pernambuco, Brazil.
-
C.
Plaisir
Plaisir is a suburban commune in the Yvelines department of the Île-de-France region in north-central France, known for its residential areas and proximity to Paris.
-
D.
Alegria
Alegria is a coastal municipality in the province of Cebu in the Philippines, known for its natural attractions and rural charm.
-
E.
Alegria
Alegria is a coastal municipality in the province of Surigao del Norte in the Caraga region of the Philippines.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6335dae10819096e1825741f814ed |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:37 p.m.