Triple
T6721825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CDQ |
E153412
|
entity |
| Predicate | refersToStationType |
P27765
|
FINISHED |
| Object | commuter hub |
—
|
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: commuter hub | Statement: [CDQ, refersToStationType, commuter hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToStationType Context triple: [CDQ, refersToStationType, commuter hub]
-
A.
stationType
chosen
Indicates the specific category or classification of a station based on its function, services, or operational characteristics.
-
B.
servesAsThroughStationFor
Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
-
C.
appliesToTransportFacilityType
Indicates that something is relevant or applicable specifically to a particular type or category of transport facility.
-
D.
associatedWithStationName
Indicates a relationship where something is linked or connected to a particular station identified by its name.
-
E.
associatedStationCategory
Indicates that one entity is linked to, or classified under, a particular category of station.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d139d50c81908b19120f139deaa5 |
completed | March 27, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69c6d08c5d348190a29dee668c398e70 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:07 p.m.