Triple
T3979087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place Garibaldi |
E85712
|
entity |
| Predicate | hasPublicTransport |
P1288
|
FINISHED |
| Object | Nice tramway |
E118269
|
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: Nice tramway | Statement: [Place Garibaldi, hasPublicTransport, Nice tramway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nice tramway Context triple: [Place Garibaldi, hasPublicTransport, Nice tramway]
-
A.
Nice tramway
chosen
The Nice tramway is a modern light rail system serving the city of Nice, France, connecting key districts, transport hubs, and coastal areas including the Promenade des Anglais.
-
B.
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.
-
C.
Nice tramway Line 1
Nice tramway Line 1 is a major light rail route in Nice, France, forming part of the city’s primary public transport network and linking key central districts and landmarks.
-
D.
New Tram
New Tram is an automated guideway transit line in Osaka, Japan, operated as part of the Osaka Metro system.
-
E.
Santa Teresa Tram
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.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9bb89e8819087703a7af5bbcfc1 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5401dd24481908d143a9da6786757 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:33 p.m.