Triple
T4822403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Britomart Transport Centre |
E107739
|
entity |
| Predicate | busFacilities |
P5891
|
FINISHED |
| Object | surface bus stops and nearby bus lanes |
—
|
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: surface bus stops and nearby bus lanes | Statement: [Britomart Transport Centre, busFacilities, surface bus stops and nearby bus lanes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: busFacilities Context triple: [Britomart Transport Centre, busFacilities, surface bus stops and nearby bus lanes]
-
A.
transportationFacility
Indicates that one entity is a facility or location used for the transportation or transit of people or goods in relation to another entity.
-
B.
hasBusStation
chosen
Indicates that a place or area contains or is served by a bus station.
-
C.
transportationJunctionFor
Indicates a location that serves as a connecting point where multiple transportation routes or modes meet, intersect, or transfer.
-
D.
stationType
Indicates the specific category or classification of a station based on its function, services, or operational characteristics.
-
E.
hasBusPlatforms
Indicates that a location or facility is equipped with one or more designated platforms for boarding or alighting from buses.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1fe130819087ae01309f96a0c8 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.