Triple
T24898057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clifton Hill railway station |
E623197
|
entity |
| Predicate | isElectrifiedSince |
P157782
|
FINISHED |
| Object | 1920s |
—
|
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: 1920s | Statement: [Clifton Hill railway station, isElectrifiedSince, 1920s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isElectrifiedSince Context triple: [Clifton Hill railway station, isElectrifiedSince, 1920s]
-
A.
hasElectrificationStatus
Indicates that an entity possesses a specified type or level of electrification (e.g., electrified, non-electrified, partially electrified).
-
B.
isElectrifiedSectionOf
Indicates that one section or segment is a part of a larger entity and has been equipped with electrical power or electrification.
-
C.
isElectrically
Indicates that one entity has an electrical property, connection, or interaction in relation to another entity.
-
D.
isElectricRailway
Indicates that a given railway system operates using electric power rather than diesel or other forms of propulsion.
-
E.
railElectrificationIncludes
Indicates that a rail electrification system or project encompasses, covers, or incorporates a specified segment, component, or area of railway infrastructure.
- F. None of above. chosen
Provenance (4 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_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
| PDg | Predicate description generation | batch_69f44a3adb7c8190941572f718b3b93c |
completed | May 1, 2026, 6:37 a.m. |
Created at: April 18, 2026, 5:26 a.m.