Triple
T24459687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lilac Bus |
E616782
|
entity |
| Predicate | transportationMotif |
P118217
|
FINISHED |
| Object | bus journey |
—
|
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: bus journey | Statement: [The Lilac Bus, transportationMotif, bus journey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportationMotif Context triple: [The Lilac Bus, transportationMotif, bus journey]
-
A.
transportationMotifConnection
Indicates a relationship where entities are linked through a recurring transportation-related theme, symbol, or pattern.
-
B.
modernTransportRoute
Indicates a transportation route that uses contemporary or up-to-date modes, infrastructure, or standards for moving people or goods between locations.
-
C.
transportPattern
chosen
Indicates a recurring or characteristic way in which transportation is carried out between entities, such as typical routes, modes, or schedules.
-
D.
transportationContext
Indicates the situational or environmental conditions under which transportation occurs, such as mode, purpose, or circumstances of travel.
-
E.
transportDevelopment
Indicates the development or improvement of transportation systems, infrastructure, or services connecting places or entities.
- 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_69e2d7ef9fe08190a0613908758b4e86 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f298c9956481909f01b51615546807 |
completed | April 29, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:19 a.m.