Triple
T1243613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin S-Bahn |
E26713
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
S26
S26 is a line of the Berlin S-Bahn urban rail network serving various stations across the Berlin metropolitan area.
|
E143048
|
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: S26 | Statement: [Berlin S-Bahn, hasLine, S26]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S26 Context triple: [Berlin S-Bahn, hasLine, S26]
-
A.
S25
S25 is a commuter rail line of the Berlin S-Bahn network serving various districts across the Berlin metropolitan area.
-
B.
S2
S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
-
C.
S-23
S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
-
D.
The 6s
The 6s is a subgroup within the Brooklyn-based hip hop collective Junior M.A.F.I.A., associated with the mid-1990s East Coast rap scene.
-
E.
S
S is the New York City Subway service designation used for the 42nd Street Shuttle, a short line connecting Times Square and Grand Central in Manhattan.
- 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: S26 Triple: [Berlin S-Bahn, hasLine, S26]
Generated description
S26 is a line of the Berlin S-Bahn urban rail network serving various stations across the Berlin metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S26 Target entity description: S26 is a line of the Berlin S-Bahn urban rail network serving various stations across the Berlin metropolitan area.
-
A.
S25
S25 is a commuter rail line of the Berlin S-Bahn network serving various districts across the Berlin metropolitan area.
-
B.
S2
S2 is a line of Berlin's S-Bahn rapid transit network that connects northern and southern suburbs through the city center.
-
C.
S-23
S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
-
D.
The 6s
The 6s is a subgroup within the Brooklyn-based hip hop collective Junior M.A.F.I.A., associated with the mid-1990s East Coast rap scene.
-
E.
S
S is the New York City Subway service designation used for the 42nd Street Shuttle, a short line connecting Times Square and Grand Central in Manhattan.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf636e208190a4d56806db61916c |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93c186fc8190a353c8f0a90ce273 |
completed | March 7, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_69ac94abbd748190851f3d53ec909494 |
completed | March 7, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9506ec5481909014834364f4e7f7 |
completed | March 7, 2026, 9:13 p.m. |
Created at: March 1, 2026, 7:47 p.m.