Triple
T24965144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eglinton GO Station |
E624719
|
entity |
| Predicate | isElectrificationPlanned |
P158148
|
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: [Eglinton GO Station, isElectrificationPlanned, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isElectrificationPlanned Context triple: [Eglinton GO Station, isElectrificationPlanned, yes]
-
A.
hasElectrificationStatus
Indicates that an entity possesses a specified type or level of electrification (e.g., electrified, non-electrified, partially electrified).
-
B.
railElectrificationIncludes
Indicates that a rail electrification system or project encompasses, covers, or incorporates a specified segment, component, or area of railway infrastructure.
-
C.
electrificationUsedBy
Indicates that a particular electrification system, method, or technology is employed or utilized by a given entity.
-
D.
electrificationSystem
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
-
E.
isElectrifiedSince
Indicates that an entity has had electrical power or electrification continuously from a specified point in time onward.
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 6 a.m.