Triple
T13489268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-Bahn line S1 |
E318589
|
entity |
| Predicate | systemSymbol |
P110601
|
FINISHED |
| Object | white S on green circle |
—
|
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: white S on green circle | Statement: [S-Bahn line S1, systemSymbol, white S on green circle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: systemSymbol Context triple: [S-Bahn line S1, systemSymbol, white S on green circle]
-
A.
systemName
Indicates that an entity has a specific system-level name or identifier assigned to it.
-
B.
systemUsedBy
Indicates that a particular system is utilized or operated by a specified agent or user.
-
C.
systemType
Indicates the classification or category of a system that an entity belongs to or operates as.
-
D.
systemFlagship
Indicates that an entity serves as the primary or leading representative (flagship) within a larger system or collection of related entities.
-
E.
systemEntry
Indicates that an entity is being recorded, registered, or introduced into a particular system or structured environment.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3cbe2081908c6792362c67c8f1 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:43 p.m.