Triple
T35748850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-Bahn line S6 |
E1033260
|
entity |
| Predicate | belongsToTransportCategory |
P70905
|
FINISHED |
| Object | public transport |
—
|
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: public transport | Statement: [S-Bahn line S6, belongsToTransportCategory, public transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToTransportCategory Context triple: [S-Bahn line S6, belongsToTransportCategory, public transport]
-
A.
hasTransportCategory
chosen
Indicates that one entity is classified under a particular category or type of transport associated with another entity.
-
B.
hasDepartmentForTransportCategory
Indicates that an entity is classified under a specific category defined by the Department for Transport.
-
C.
belongsToRollingStockCategory
Indicates that something is classified under, or is a member of, a specific rolling stock category (such as a type or group of railway vehicles).
-
D.
hasRoleInTransport
Indicates that an entity participates in a transport process by holding a specific functional role within that transport.
-
E.
appliesToTransportFacilityType
Indicates that something is relevant or applicable specifically to a particular type or category of transport facility.
- 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffb97b8ff8819088b105d99a0820c9 |
completed | May 9, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69ffb88ef7388190a710120ed76edc0e |
completed | May 9, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:06 p.m.