Triple
T22012046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breda A650 |
E543599
|
entity |
| Predicate | designedForSignaling |
P94939
|
FINISHED |
| Object | automatic train control |
—
|
LITERAL 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: automatic train control | Statement: [Breda A650, designedForSignaling, automatic train control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedForSignaling Context triple: [Breda A650, designedForSignaling, automatic train control]
-
A.
usesSignaling
Indicates that one entity communicates or coordinates with another by emitting, transmitting, or interpreting signals.
-
B.
signalingMode
chosen
Indicates the method or mechanism by which one entity communicates or transmits signals to another.
-
C.
compatibleWithSignaling
Indicates that one entity can correctly interpret, process, or operate using the signaling mechanisms, protocols, or formats employed by another entity.
-
D.
designedToCommunicate
Indicates that something has been intentionally created or configured for the purpose of conveying information or messages to others.
-
E.
usesSignalingChannel
Indicates that one entity communicates or exchanges information with another through a specific signaling channel or medium.
- F. None of above.
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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a520bc8190865f525a87255fb2 |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:22 p.m.