Triple
T37814920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nederlandse Spoorwegen intercity services |
E942747
|
entity |
| Predicate | stopFrequency |
P30836
|
FINISHED |
| Object | fewer stops than sprinter services |
—
|
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: fewer stops than sprinter services | Statement: [Nederlandse Spoorwegen intercity services, stopFrequency, fewer stops than sprinter services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stopFrequency Context triple: [Nederlandse Spoorwegen intercity services, stopFrequency, fewer stops than sprinter services]
-
A.
stopsPattern
Indicates that one entity halts, interrupts, or prevents the continuation of a recurring or structured pattern involving another entity.
-
B.
stopPolicy
Indicates that an entity terminates, cancels, or brings to an end a policy or ongoing course of action.
-
C.
stoppedBy
Indicates that one entity causes another entity to cease moving, operating, or continuing an action.
-
D.
shutdownPeriod
Indicates a time interval during which a system, service, or process is intentionally turned off or not operational.
-
E.
laterFrequency
chosen
Indicates that one event, state, or action occurs with a lower frequency than another in a temporal sequence.
- 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.