Triple
T13040625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sand Lake Road station |
E327179
|
entity |
| Predicate | servedByType |
P105233
|
FINISHED |
| Object | diesel commuter trains |
—
|
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: diesel commuter trains | Statement: [Sand Lake Road station, servedByType, diesel commuter trains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedByType Context triple: [Sand Lake Road station, servedByType, diesel commuter trains]
-
A.
servedByService
Indicates that something is provided, handled, or fulfilled by a particular service.
-
B.
servedByLineType
chosen
Indicates that a service, stop, or route is operated or covered by a specific type of transit line.
-
C.
servedByServiceVia
Indicates that something receives service or is fulfilled through a specific service acting as the intermediary or delivery mechanism.
-
D.
servesType
Indicates that one entity provides, offers, or is used to deliver a particular type, category, or kind of thing or service.
-
E.
servedByLine
Indicates that a transportation stop, station, or location is provided service by a specific transit line.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:56 p.m.