Triple
T20960003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamburg S-Bahn |
E516213
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
S2
S2 is one of the suburban rail lines of the Hamburg S-Bahn network, providing regional commuter service across parts of the Hamburg metropolitan area.
|
E1459246
|
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: S2 | Statement: [Hamburg S-Bahn, hasLine, S2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S2 Context triple: [Hamburg S-Bahn, hasLine, S2]
-
A.
S2
S2 is a line of the Munich S-Bahn rapid transit network that runs through the central trunk route and serves suburban areas around Munich.
-
B.
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.
-
C.
S2
S2 is a commuter rail line of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan region in Germany.
-
D.
S2
S2 is the Indian Navy hull number assigned to INS Arihant, India’s first indigenously built nuclear-powered ballistic missile submarine.
-
E.
S2
S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
- 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: S2 Triple: [Hamburg S-Bahn, hasLine, S2]
Generated description
S2 is one of the suburban rail lines of the Hamburg S-Bahn network, providing regional commuter service across parts of the Hamburg metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S2 Target entity description: S2 is one of the suburban rail lines of the Hamburg S-Bahn network, providing regional commuter service across parts of the Hamburg metropolitan area.
-
A.
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.
-
B.
S2
S2 is a commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, connecting various cities and suburbs in the densely populated Rhine-Ruhr metropolitan region.
-
C.
S2
S2 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
-
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.
S2
S2 is a commuter rail line of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan region in Germany.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6e50988190a564d2aaf1a9bc54 |
completed | April 21, 2026, 4:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0927969140819089027995f14d86ee |
completed | May 17, 2026, 2:27 a.m. |
| NEDg | Description generation | batch_6a0928e11bc481909b4350770db28671 |
completed | May 17, 2026, 2:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0929e0fb308190a224fe9dceb74a1c |
completed | May 17, 2026, 2:37 a.m. |
Created at: April 16, 2026, 1:30 p.m.