Triple
T37814991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nederlandse Spoorwegen sprinter services |
E942748
|
entity |
| Predicate | stopPatternComparedToIntercity |
P123926
|
FINISHED |
| Object | more frequent stops |
—
|
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: more frequent stops | Statement: [Nederlandse Spoorwegen sprinter services, stopPatternComparedToIntercity, more frequent stops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stopPatternComparedToIntercity Context triple: [Nederlandse Spoorwegen sprinter services, stopPatternComparedToIntercity, more frequent stops]
-
A.
stopsPattern
Indicates that one entity halts, interrupts, or prevents the continuation of a recurring or structured pattern involving another entity.
-
B.
isKeyIntercityTerminalFor
Indicates that a location serves as a primary intercity transportation hub or terminal for a specified area, route, or network.
-
C.
hasSkipStopPatternWith
Indicates that one service or route follows a skip-stop operating pattern in coordination with another, where each serves only a subset of stops in a complementary way.
-
D.
relativeStopPatternComparedTo
chosen
Indicates how one stop pattern is positioned or structured in relation to another stop pattern for comparison purposes.
-
E.
typicalStopPattern
Indicates the usual or most common sequence or arrangement of stops associated with an entity’s operation or route.
- 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.