Triple
T24932780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craigieburn railway station |
E623232
|
entity |
| Predicate | isElectrifiedTerminus |
P65516
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Craigieburn railway station, isElectrifiedTerminus, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isElectrifiedTerminus Context triple: [Craigieburn railway station, isElectrifiedTerminus, yes]
-
A.
isElectricRailway
Indicates that a given railway system operates using electric power rather than diesel or other forms of propulsion.
-
B.
isElectrifiedSince
Indicates that an entity has had electrical power or electrification continuously from a specified point in time onward.
-
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.
electrificationTerminusOf
chosen
Indicates that a location or point serves as the end of an electrified section of a route, line, or network.
-
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.
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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:30 a.m.