Triple
T18983091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Carlos Caltrain station |
E464478
|
entity |
| Predicate | hasRecyclingReceptacles |
P134022
|
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: [San Carlos Caltrain station, hasRecyclingReceptacles, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecyclingReceptacles Context triple: [San Carlos Caltrain station, hasRecyclingReceptacles, yes]
-
A.
hasTrashReceptacles
Indicates that one entity provides, contains, or is equipped with trash receptacles for waste disposal in relation to another entity or location.
-
B.
recyclingRecommended
Indicates that it is advised or preferable for the referenced item or material to be recycled rather than discarded by other means.
-
C.
recyclingCategory
Indicates the specific recycling classification or bin type that an item or material should be sorted into.
-
D.
canBeRecycled
Indicates that an item or material is suitable for processing so it can be reused or converted into new products instead of being discarded as waste.
-
E.
recyclable
Indicates that an item or material can be collected, processed, and reused in manufacturing instead of being discarded as waste.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65de6288190a53a3fdd59013d2d |
completed | April 20, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 12:01 p.m.