Triple
T1243625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin S-Bahn |
E26713
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
S9
S9 is a line of the Berlin S-Bahn rapid transit network that connects Berlin Brandenburg Airport with central and western parts of the city.
|
E142490
|
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: S9 | Statement: [Berlin S-Bahn, hasLine, S9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S9 Context triple: [Berlin S-Bahn, hasLine, S9]
-
A.
WBG
WBG is the commonly used abbreviation for the World Bank Group, an international financial institution that provides loans and grants to support development and reduce poverty worldwide.
-
B.
LPL
LPL is the three-letter IATA airport code for Liverpool John Lennon Airport, serving the city of Liverpool in England.
-
C.
Overwatch
Overwatch is a team-based multiplayer first-person shooter video game franchise known for its diverse cast of heroes, objective-focused gameplay, and vibrant, character-driven world.
-
D.
Gen.G Tigers of Shanghai
Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
-
E.
IDEA League
IDEA League is a strategic alliance of leading European technical universities that collaborate on research, education, and innovation initiatives.
- 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: S9 Triple: [Berlin S-Bahn, hasLine, S9]
Generated description
S9 is a line of the Berlin S-Bahn rapid transit network that connects Berlin Brandenburg Airport with central and western parts of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S9 Target entity description: S9 is a line of the Berlin S-Bahn rapid transit network that connects Berlin Brandenburg Airport with central and western parts of the city.
-
A.
WBG
WBG is the commonly used abbreviation for the World Bank Group, an international financial institution that provides loans and grants to support development and reduce poverty worldwide.
-
B.
LPL
LPL is the three-letter IATA airport code for Liverpool John Lennon Airport, serving the city of Liverpool in England.
-
C.
Overwatch
Overwatch is a team-based multiplayer first-person shooter video game franchise known for its diverse cast of heroes, objective-focused gameplay, and vibrant, character-driven world.
-
D.
Gen.G Tigers of Shanghai
Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
-
E.
IDEA League
IDEA League is a strategic alliance of leading European technical universities that collaborate on research, education, and innovation initiatives.
- 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_69ac8f7bd6148190933210f66a8899ce |
completed | March 7, 2026, 8:50 p.m. |
| NEDg | Description generation | batch_69ac900a6c208190b3c76efcec1186ec |
completed | March 7, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9111e6288190b83074bd05e2f282 |
completed | March 7, 2026, 8:56 p.m. |
Created at: March 1, 2026, 7:47 p.m.