Triple
T24042665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 446 series EMU |
E595426
|
entity |
| Predicate | hasOperationEnvironment |
P72813
|
FINISHED |
| Object | railway network |
—
|
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: railway network | Statement: [446 series EMU, hasOperationEnvironment, railway network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOperationEnvironment Context triple: [446 series EMU, hasOperationEnvironment, railway network]
-
A.
appliesToOperationalEnvironment
chosen
Indicates that something (such as a rule, requirement, or condition) is relevant to, valid in, or specifically intended for a particular operational environment.
-
B.
hasEnvironmentType
Indicates that an entity is associated with or occurs within a specific type or category of environment.
-
C.
hasOperationsIn
Indicates that an entity conducts business activities or maintains operational presence within a specified location or region.
-
D.
hasEnvironmentalFunction
Indicates that an entity serves a specific role or purpose related to the environment, such as contributing to ecological processes, protection, or sustainability.
-
E.
hasTrainingEnvironment
Indicates that an entity is associated with, or operates within, a specific environment or setting used for training or practice.
- 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8db3b4c81908a36eace8ec136cc |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:58 p.m.