Triple
T25180132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desiro City |
E630559
|
entity |
| Predicate | designedForServicePattern |
P162989
|
FINISHED |
| Object | frequent stop 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: frequent stop services | Statement: [Desiro City, designedForServicePattern, frequent stop services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedForServicePattern Context triple: [Desiro City, designedForServicePattern, frequent stop services]
-
A.
servicePatternType
Indicates the type or category of service pattern that characterizes how a service is structured, scheduled, or delivered.
-
B.
servicePatternInfluenced
Indicates that the characteristics or structure of a service pattern are affected or shaped by another factor, entity, or condition.
-
C.
currentServicePatternIntroduced
Indicates that the currently operating service pattern was first implemented or put into effect at a specific point in time.
-
D.
servesServicePattern
Indicates that one entity provides or operates according to a particular service pattern or schedule for another.
-
E.
servicePatternComplement
Indicates that one service pattern functions as a complement to another, covering routes, times, or conditions that the other pattern does not.
- F. None of above. chosen
Provenance (4 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 21, 2026, 12:35 p.m.