Triple
T1981449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cablebús |
E43033
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Trolebús |
E42355
|
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: Trolebús | Statement: [Cablebús, connectsWith, Trolebús]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trolebús Context triple: [Cablebús, connectsWith, Trolebús]
-
A.
Trolebús
chosen
Trolebús is an electric trolleybus transit system serving Mexico City as part of its broader public transportation network.
-
B.
Cablebús
Cablebús is an aerial cable car public transit system in Mexico City designed to provide efficient mass transportation, particularly to hilly and underserved areas.
-
C.
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.
-
D.
SL95 tram
The SL95 tram is a high-floor, bi-directional tram model used in Oslo, Norway, known for its large capacity and operation on the city’s light rail and tram network.
-
E.
Red Car Trolley
Red Car Trolley is a vintage-style streetcar attraction at Disney California Adventure Park that transports guests along Buena Vista Street and Hollywood Land, evoking Los Angeles transit of the 1920s–30s.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb81ddddc819099acc2740de0b236 |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae032bc30c8190a136a634580571d9 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:37 p.m.