Triple
T6355912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrott Transportation Center |
E142989
|
entity |
| Predicate | hasBusStands |
P46981
|
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: [Arrott Transportation Center, hasBusStands, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBusStands Context triple: [Arrott Transportation Center, hasBusStands, yes]
-
A.
hasBusStation
Indicates that a place or area contains or is served by a bus station.
-
B.
hasBusPlatforms
chosen
Indicates that a location or facility is equipped with one or more designated platforms for boarding or alighting from buses.
-
C.
hasPublicTransportStop
Indicates that a location or area contains or is served by a public transport stop, such as a bus, tram, or train stop.
-
D.
hasBusServices
Indicates that one location or entity is served by bus routes or bus transportation provided by another.
-
E.
hasBusInterchange
Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e22c00819089bc68efb85bc2c8 |
completed | March 22, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:32 p.m.