Triple
T8796677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Largo dos Guimarães |
E209305
|
entity |
| Predicate | connectedBy |
P37
|
FINISHED |
| Object | Santa Teresa tram |
E209302
|
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: Santa Teresa tram | Statement: [Largo dos Guimarães, connectedBy, Santa Teresa tram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Teresa tram Context triple: [Largo dos Guimarães, connectedBy, Santa Teresa tram]
-
A.
Santa Teresa Tram
chosen
The Santa Teresa Tram is a historic yellow streetcar line in Rio de Janeiro that carries passengers through the hilly, bohemian Santa Teresa neighborhood and across the iconic Arcos da Lapa aqueduct.
-
B.
Ansaldobreda Sirio trams
Ansaldobreda Sirio trams are a family of low-floor, articulated light rail vehicles built by the Italian manufacturer AnsaldoBreda for modern urban tram networks.
-
C.
Tram 18
Tram 18 is a tram line in Geneva’s public transport system that connects key districts within the city and its surrounding areas.
-
D.
Tram 15
Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
-
E.
Tram 14
Tram 14 is a major tram line in Geneva’s public transport system, connecting key districts and suburbs within the city.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fa370d08190885ef65e3a3e56d3 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f5d655881909013ac3e2ac0cebb |
completed | April 3, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:44 p.m.