Triple
T19433250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eléctrico 28 |
E486167
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Graça |
—
|
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: Graça | Statement: [Eléctrico 28, passesThrough, Graça]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graça Context triple: [Eléctrico 28, passesThrough, Graça]
-
A.
Graça
Graça is a civil parish located within the municipality of Pedrógão Grande in central Portugal.
-
B.
Graça
chosen
Graça is a historic hilltop neighborhood in Lisbon, Portugal, known for its traditional streets, viewpoints over the city, and classic tram connections.
-
C.
Rosário
Rosário is a municipality in the Brazilian state of Maranhão, known for its regional culture and role in the state's interior.
-
D.
Redenção
Redenção is a municipality in the state of Ceará, Brazil, known historically as one of the first Brazilian cities to abolish slavery.
-
E.
Gracia
Gracia is a feminine given name, commonly used in Spanish and other Romance languages, that derives from and shares the meaning of the name Grace.
- 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.