Triple
T24898553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siemens Nexas |
E623209
|
entity |
| Predicate | operatesOnLineType |
P47205
|
FINISHED |
| Object | electrified suburban lines |
—
|
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: electrified suburban lines | Statement: [Siemens Nexas, operatesOnLineType, electrified suburban lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesOnLineType Context triple: [Siemens Nexas, operatesOnLineType, electrified suburban lines]
-
A.
operatesOnLine
Indicates that an entity conducts operations, services, or activities along a specific line or route.
-
B.
railwayLineType
Indicates the specific kind or classification of a railway line associated with an entity (e.g., main line, branch line, high-speed line).
-
C.
lineType
Indicates the specific category or style of a line used in a representation, such as its function or visual convention.
-
D.
servedByLineType
Indicates that a service, stop, or route is operated or covered by a specific type of transit line.
-
E.
servesLineType
chosen
Indicates that a service or entity operates or supports a specific type or category of line (e.g., transport, communication, or utility line).
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 18, 2026, 5:26 a.m.