Triple
T24048347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EURODUAL |
E595583
|
entity |
| Predicate | railNetworkCompatibility |
P124547
|
FINISHED |
| Object | electrified 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 lines | Statement: [EURODUAL, railNetworkCompatibility, electrified lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railNetworkCompatibility Context triple: [EURODUAL, railNetworkCompatibility, electrified lines]
-
A.
appliesToRailwayNetwork
chosen
Indicates that something is relevant or specifically applicable to a railway network as a whole.
-
B.
usesRollingStockCompatibleWith
Indicates that one entity operates using rolling stock that is technically and operationally compatible with the rolling stock standards or systems associated with another entity.
-
C.
railSystemType
Indicates the specific category or classification of a rail transportation system that an entity belongs to or operates within.
-
D.
allowsFreightTrains
Indicates that something permits or authorizes the operation or passage of freight trains.
-
E.
railroadNetwork
Indicates a relationship where locations are connected as part of the same system of railway lines and infrastructure used for train transport.
- 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_69f1d9cedaa08190bf54857de1b312ed |
completed | April 29, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:18 p.m.