Triple
T33528673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arc de Triomf metro station |
E858713
|
entity |
| Predicate | connectedToService |
P149668
|
FINISHED |
| Object | Rodalies de Catalunya |
—
|
NE NERFINISHED |
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: Rodalies de Catalunya | Statement: [Arc de Triomf metro station, connectedToService, Rodalies de Catalunya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToService Context triple: [Arc de Triomf metro station, connectedToService, Rodalies de Catalunya]
-
A.
connectionTo
Indicates a relationship in which one entity is linked, associated, or otherwise related to another entity.
-
B.
connectedToEvent
Indicates that an entity has a direct association or linkage with a specific event.
-
C.
connectsServiceType
chosen
Indicates a relationship where one entity is linked or associated to another based on a specific type of service connection.
-
D.
introducedToService
Indicates that one entity has presented or brought another entity into contact with a particular service for the first time.
-
E.
connectedToOrganization
Indicates that an entity has a relationship or association with a particular organization, such as membership, affiliation, or formal linkage.
- 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
Created at: May 1, 2026, 1:39 a.m.