Triple
T10575140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-casual |
E249589
|
entity |
| Predicate | usableOn |
P2367
|
FINISHED |
| Object | TramBesòs |
E253354
|
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: TramBesòs | Statement: [T-casual, usableOn, TramBesòs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TramBesòs Context triple: [T-casual, usableOn, TramBesòs]
-
A.
TRAM Besòs
chosen
TRAM Besòs is a modern tram network serving the Besòs area of Barcelona and its metropolitan surroundings as part of the city’s light rail system.
-
B.
Tramvia de Sóller
Tramvia de Sóller is a historic electric tramway line on the island of Mallorca that links the town of Sóller with its nearby port, serving both locals and tourists.
-
C.
Tram 14
Tram 14 is a major tram line in Geneva’s public transport system, connecting key districts and suburbs within the city.
-
D.
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.
-
E.
Bilbao tram
The Bilbao tram is a modern light rail system in Bilbao, Spain, providing convenient urban transport and connecting key locations such as the Guggenheim Museum Bilbao with other parts of 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5274b100c8190b477ef4cb745c269 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b5d89748190bb398943e4a16e9b |
completed | April 10, 2026, 7:11 p.m. |
Created at: April 6, 2026, 12:38 p.m.