Triple
T14686662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turrella railway station |
E344923
|
entity |
| Predicate | hasElectrifiedStatus |
P59679
|
FINISHED |
| Object | electrified suburban station |
—
|
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 station | Statement: [Turrella railway station, hasElectrifiedStatus, electrified suburban station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectrifiedStatus Context triple: [Turrella railway station, hasElectrifiedStatus, electrified suburban station]
-
A.
hasElectrificationStatus
chosen
Indicates that an entity possesses a specified type or level of electrification (e.g., electrified, non-electrified, partially electrified).
-
B.
hasElectricCharge
Indicates that an entity possesses a nonzero electric charge as a physical property.
-
C.
isElectrifiedSectionOf
Indicates that one section or segment is a part of a larger entity and has been equipped with electrical power or electrification.
-
D.
hasElectricMotor
Indicates that an entity is equipped with, contains, or uses an electric motor as part of its operation or structure.
-
E.
electrificationSystem
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58306548190b981956a83a84b95 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.