Triple
T1624594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sale Water Park tram stop |
E35110
|
entity |
| Predicate | parkAndRidePurpose |
P24860
|
FINISHED |
| Object | intercept car traffic from M60 |
—
|
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: intercept car traffic from M60 | Statement: [Sale Water Park tram stop, parkAndRidePurpose, intercept car traffic from M60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parkAndRidePurpose Context triple: [Sale Water Park tram stop, parkAndRidePurpose, intercept car traffic from M60]
-
A.
hasParkAndRideFunction
chosen
Indicates that a location or facility serves as a park-and-ride, where people can park vehicles and transfer to another mode of transport for the rest of their journey.
-
B.
hasParkAndRideGarage
Indicates that a location includes a parking facility where people can park their vehicles and transfer to public transit services.
-
C.
typicalJourneyPurpose
Indicates the usual or most common reason or objective for which an entity undertakes a journey.
-
D.
passesUsedForTransportation
Indicates that the passes are utilized as a means or instrument for transporting people or goods.
-
E.
hasPublicTransportUsage
Indicates that an entity makes use of, or is associated with the use of, public transportation services.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9431af5ac8190893133f1ae490142 |
completed | March 5, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69a907c91c888190b6ed295c1a2e0977 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.