Triple
T5193569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuttgart S-Bahn |
E117213
|
entity |
| Predicate | line |
P1293
|
FINISHED |
| Object |
S3
S3 is a commuter rail line of the Stuttgart S-Bahn network in Germany, connecting the city center with surrounding suburban areas.
|
E501210
|
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: S3 | Statement: [Stuttgart S-Bahn, line, S3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S3 Context triple: [Stuttgart S-Bahn, line, S3]
-
A.
S3
S3 is a line of the Berlin S-Bahn urban rail network that connects various districts across the Berlin metropolitan area.
-
B.
S3
S3 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving regional passenger traffic between the city and its surrounding areas.
-
C.
S2
S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
-
D.
S2
S2 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving suburban and regional routes around the city.
-
E.
S3NS
S3NS is a jazz and world-fusion music album by Franco-Lebanese trumpeter and composer Ibrahim Maalouf, blending Latin influences with his signature melodic style.
- 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: S3 Triple: [Stuttgart S-Bahn, line, S3]
Generated description
S3 is a commuter rail line of the Stuttgart S-Bahn network in Germany, connecting the city center with surrounding suburban areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S3 Target entity description: S3 is a commuter rail line of the Stuttgart S-Bahn network in Germany, connecting the city center with surrounding suburban areas.
-
A.
S3
S3 is a line of the Berlin S-Bahn urban rail network that connects various districts across the Berlin metropolitan area.
-
B.
S3
S3 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving regional passenger traffic between the city and its surrounding areas.
-
C.
S2
S2 is one of the commuter rail lines of the Nuremberg S-Bahn network in Germany, serving suburban and regional routes around the city.
-
D.
S2
S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
-
E.
S3NS
S3NS is a jazz and world-fusion music album by Franco-Lebanese trumpeter and composer Ibrahim Maalouf, blending Latin influences with his signature melodic style.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79f142488190bc6c57b8ff7ef894 |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee09743e08190a3a73fb410a6f124 |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee5a7cc748190b5df14b78aeac608 |
completed | March 21, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee64966f88190874edda00332e220 |
completed | March 21, 2026, 6:41 p.m. |
Created at: March 20, 2026, 1:46 p.m.