Triple
T33998920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R33 |
E871758
|
entity |
| Predicate | isPartOfTransportIn |
P199351
|
FINISHED |
| Object | transport in Catalonia |
—
|
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: transport in Catalonia | Statement: [R33, isPartOfTransportIn, transport in Catalonia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfTransportIn Context triple: [R33, isPartOfTransportIn, transport in Catalonia]
-
A.
isPublicTransportIn
Indicates that a mode or instance of public transportation operates within, serves, or is located in a specified area or region.
-
B.
isTransport
Indicates that one entity serves as a means or method for conveying or carrying another entity from one place to another.
-
C.
transportedIn
Indicates that one entity is carried or conveyed inside another entity as a means of transport.
-
D.
isTransportationType
Indicates that one entity functions as a mode or category of transportation for the other entity.
-
E.
isPublicTransport
Indicates that the entity functions as a mode or instance of transportation that is available for use by the general public, typically operating on fixed routes or schedules.
- 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff2fbae9b48190847eefa1c227d43e |
completed | May 9, 2026, 12:59 p.m. |
| PD | Predicate disambiguation | batch_69ff2f2218048190a32224a648182b5d |
completed | May 9, 2026, 12:57 p.m. |
| PDg | Predicate description generation | batch_69ff2fb9e46c8190b36b3e0bc84f114c |
completed | May 9, 2026, 12:59 p.m. |
Created at: May 1, 2026, 1:50 a.m.