Triple
T5707764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | InterCity CrossCountry |
E125826
|
entity |
| Predicate | railwayOperatorRole |
P20222
|
FINISHED |
| Object | provided through services between regions |
—
|
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: provided through services between regions | Statement: [InterCity CrossCountry, railwayOperatorRole, provided through services between regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayOperatorRole Context triple: [InterCity CrossCountry, railwayOperatorRole, provided through services between regions]
-
A.
railNetworkRole
Indicates the specific function or responsibility an entity has within a rail network system.
-
B.
trainOperator
chosen
Indicates that one entity operates, manages, or runs train services for another entity or within a specific rail system.
-
C.
railwayLineRole
Indicates the specific functional role or purpose that a railway line serves within a rail network or transportation system.
-
D.
hasRailOperatorNamedAfter
Indicates that a rail operator is named after the specified entity.
-
E.
hasLocalRailOperator
Indicates that a specified rail operator is responsible for providing local or regional rail services within a particular area or network.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024892fd88190a91133fc88365410 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.