Triple
T21710275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renfe Alvia |
E535883
|
entity |
| Predicate | usesTrainFamily |
P145050
|
FINISHED |
| Object | CAF variable-gauge trainsets |
—
|
NE NERFINISHED |
How this triple was built (3 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: CAF variable-gauge trainsets | Statement: [Renfe Alvia, usesTrainFamily, CAF variable-gauge trainsets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAF variable-gauge trainsets Context triple: [Renfe Alvia, usesTrainFamily, CAF variable-gauge trainsets]
-
A.
Automatic Train Control
Automatic Train Control is a railway safety and control system that automates train operations such as speed regulation and braking to prevent collisions and ensure safe, efficient train movement.
-
B.
SMART train
SMART train is a commuter rail service in California’s North Bay region that connects communities in Marin and Sonoma counties.
-
C.
Automatic Train Supervision
Automatic Train Supervision is a rail signaling subsystem that monitors, regulates, and optimizes train operations in real time, including scheduling, routing, and service regulation.
-
D.
AutoTrain
AutoTrain is a Hugging Face platform that automates the training, tuning, and deployment of machine learning models with minimal user configuration.
-
E.
Automatic Train Operation (ATO)
Automatic Train Operation (ATO) is a railway control system that automates key driving functions such as acceleration, speed regulation, and braking to improve safety, efficiency, and consistency of train operations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CAF variable-gauge trainsets Target entity description: CAF variable-gauge trainsets are Spanish-built passenger trains equipped with adjustable wheelsets that allow seamless operation across different track gauges, commonly used on Renfe’s Alvia services.
-
A.
Automatic Train Control
Automatic Train Control is a railway safety and control system that automates train operations such as speed regulation and braking to prevent collisions and ensure safe, efficient train movement.
-
B.
SMART train
SMART train is a commuter rail service in California’s North Bay region that connects communities in Marin and Sonoma counties.
-
C.
Automatic Train Supervision
Automatic Train Supervision is a rail signaling subsystem that monitors, regulates, and optimizes train operations in real time, including scheduling, routing, and service regulation.
-
D.
AutoTrain
AutoTrain is a Hugging Face platform that automates the training, tuning, and deployment of machine learning models with minimal user configuration.
-
E.
Automatic Train Operation (ATO)
Automatic Train Operation (ATO) is a railway control system that automates key driving functions such as acceleration, speed regulation, and braking to improve safety, efficiency, and consistency of train operations.
- F. None of above. chosen
Provenance (2 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb5333c8481909d729fb3bc3c9bc5 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.