Triple
T11449686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Integrated Public Transport Card of Mexico City |
E271360
|
entity |
| Predicate | usedOn |
P2367
|
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: [Integrated Public Transport Card of Mexico City, usedOn, Trolebús]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trolebús Context triple: [Integrated Public Transport Card of Mexico City, usedOn, Trolebús]
-
A.
Trolebús
chosen
Trolebús is an electric trolleybus transit system serving Mexico City as part of its broader public transportation network.
-
B.
Tramvia Metropolità
Tramvia Metropolità is a metropolitan tram system serving parts of the Barcelona area, providing urban and suburban light rail transport.
-
C.
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.
-
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.
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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c6e496c8190b0a1919c29d4ee60 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3cb63408190a96b97f716d46082 |
completed | April 20, 2026, 7:20 a.m. |
Created at: April 8, 2026, 9:35 p.m.