Triple
T8571290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unionville GO Station |
E202930
|
entity |
| Predicate | hasDropOffZone |
P24210
|
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: [Unionville GO Station, hasDropOffZone, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDropOffZone Context triple: [Unionville GO Station, hasDropOffZone, yes]
-
A.
hasDropOffArea
chosen
Indicates that an entity provides a designated area where items, passengers, or goods can be temporarily left or unloaded.
-
B.
dropOffOptions
Indicates the available ways, locations, or conditions under which something can be dropped off or delivered.
-
C.
dropOffOption
Indicates an available method or arrangement by which something can be left or delivered at a specified location.
-
D.
hasPassengerPickUpDropOff
Indicates that one entity serves as a designated location or point where passengers are picked up and/or dropped off by another entity.
-
E.
hasFreeZone
Indicates that an entity includes or is associated with a designated free zone area where special rules, privileges, or exemptions apply.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea4223888190a56d9026ae0b9ec0 |
completed | March 31, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:21 p.m.