Triple
T2235831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solntsevskaya Line |
E49276
|
entity |
| Predicate | hasSignalling |
P15982
|
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: [Solntsevskaya Line, hasSignalling, automatic train control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignalling Context triple: [Solntsevskaya Line, hasSignalling, automatic train control]
-
A.
usesSignaling
chosen
Indicates that one entity communicates or coordinates with another by emitting, transmitting, or interpreting signals.
-
B.
hasSign
Indicates that an entity possesses, displays, or is associated with a particular sign or symbol.
-
C.
compatibleWithSignaling
Indicates that one entity can correctly interpret, process, or operate using the signaling mechanisms, protocols, or formats employed by another entity.
-
D.
hasSignFor
Indicates that one entity displays, bears, or provides a sign, symbol, or notice that represents, directs attention to, or gives information about another entity.
-
E.
hasSignalLine
Indicates that one entity is connected to another by a signal-carrying line or path used for transmitting information or control signals.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc093ba0c819091df09a0e018fce1 |
completed | March 7, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69abbdafc07881909101266a33ae7031 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.