Triple
T22963919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Line SL4 |
E570981
|
entity |
| Predicate | isBusRapidTransitBranding |
P37810
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Silver Line SL4, isBusRapidTransitBranding, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBusRapidTransitBranding Context triple: [Silver Line SL4, isBusRapidTransitBranding, true]
-
A.
publicTransportBrand
Indicates that a public transport service, line, or vehicle operates under or is associated with a specific brand or branding entity.
-
B.
hasBRTLine
chosen
Indicates that a bus rapid transit (BRT) line is present, operates on, or serves the referenced entity.
-
C.
isPublicTransportBackboneOf
Indicates that one transport system serves as the primary structural and functional core of a region’s overall public transportation network.
-
D.
railwayOperatorBranding
Indicates that one entity is responsible for the railway-related branding, livery, or visual identity applied to another entity (such as a train service, station, or rolling stock).
-
E.
partOfTransitSystem
Indicates that something is a component or segment within a larger transit or transportation system.
- 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f66fbc8190a4a7b73d17537132 |
completed | April 29, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:47 p.m.