Triple
T20456394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RER Vaud |
E501798
|
entity |
| Predicate | hasLineDesignation |
P974
|
FINISHED |
| Object |
S6
S6 is a regional rail service designation used within the RER Vaud commuter rail network in the canton of Vaud, Switzerland.
|
E1433128
|
NE FINISHED |
How this triple was built (4 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: S6 | Statement: [RER Vaud, hasLineDesignation, S6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S6 Context triple: [RER Vaud, hasLineDesignation, S6]
-
A.
S6
S6 is one of the Munich S-Bahn suburban railway lines that connects central Munich with its surrounding regions.
-
B.
S6
S6 is a commuter rail line of the Stuttgart S-Bahn network serving the greater Stuttgart metropolitan area in Germany.
-
C.
S6
S6 is a line of the Rhine-Main S-Bahn rapid transit network serving the Frankfurt am Main area in Germany.
-
D.
S68
S68 is a regional commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving suburban and urban areas in the densely populated Rhine-Ruhr metropolitan region.
-
E.
S62
The S62 is a Staten Island bus route in New York City that connects Castleton Corners with other neighborhoods across the borough.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: S6 Triple: [RER Vaud, hasLineDesignation, S6]
Generated description
S6 is a regional rail service designation used within the RER Vaud commuter rail network in the canton of Vaud, Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S6 Target entity description: S6 is a regional rail service designation used within the RER Vaud commuter rail network in the canton of Vaud, Switzerland.
-
A.
S6
S6 is a commuter rail line of the Stuttgart S-Bahn network serving the greater Stuttgart metropolitan area in Germany.
-
B.
S6
S6 is one of the Munich S-Bahn suburban railway lines that connects central Munich with its surrounding regions.
-
C.
S6
S6 is a line of the Rhine-Main S-Bahn rapid transit network serving the Frankfurt am Main area in Germany.
-
D.
S68
S68 is a regional commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving suburban and urban areas in the densely populated Rhine-Ruhr metropolitan region.
-
E.
S62
The S62 is a Staten Island bus route in New York City that connects Castleton Corners with other neighborhoods across the borough.
- F. None of above. chosen
Provenance (5 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a1b03c8190984d9db6d3251308 |
completed | April 20, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088b10b6608190a88f466dccf31322 |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088c75b09081908a35bc7a9b6a45ce |
completed | May 16, 2026, 3:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088d8c3ab08190a399dba52e3c99f5 |
completed | May 16, 2026, 3:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.