Triple
T14056871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M4 |
E338240
|
entity |
| Predicate | usesSignallingSystem |
P19148
|
FINISHED |
| Object | CBTC |
E340578
|
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: CBTC | Statement: [M4, usesSignallingSystem, CBTC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBTC Context triple: [M4, usesSignallingSystem, CBTC]
-
A.
CBTC
chosen
CBTC (Communications-Based Train Control) is an advanced railway signalling system that uses continuous, high-capacity data communication to manage train movements with greater safety and efficiency.
-
B.
CTCS-2
CTCS-2 is a train control system level within the Chinese Train Control System hierarchy, providing a standardized, lower-tier signaling and control capability compared to CTCS-3.
-
C.
Siemens Trainguard MT
Siemens Trainguard MT is a communications-based train control (CBTC) signaling system developed by Siemens for fully automated and driverless metro and urban rail operations.
-
D.
CTCS-3
CTCS-3 is a high-level Chinese Train Control System standard used for advanced, high-speed railway signaling and train operation control.
-
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.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8e6d008190af8892f34c5cefbd |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6608cf8819087ed5d890b82650a |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.