Triple

T6173965
Position Surface form Disambiguated ID Type / Status
Subject S-Bahn station Berlin Grunewald E137772 entity
Predicate servedBy P82 FINISHED
Object S3 line
The S3 line is a route of the Berlin S-Bahn urban rail network that connects various districts across the city and serves stations such as Berlin Grunewald.
E573005 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 line | Statement: [S-Bahn station Berlin Grunewald, servedBy, S3 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S3 line
Context triple: [S-Bahn station Berlin Grunewald, servedBy, S3 line]
  • A. S3 line
    The S3 line is a route of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area in Germany.
  • B. S3 line
    The S3 line is a commuter rail service within the Zürich S-Bahn network that connects Zürich with its surrounding suburbs and regional destinations.
  • C. 3 Line
    The 3 Line is a New York City Subway service that runs on the IRT Eastern Parkway and Lenox Avenue lines, connecting Brooklyn with Manhattan and the Bronx.
  • D. Line 3
    Line 3 is one of the main lines of the Mexico City Metro system, running in a generally north–south direction and serving several key residential and commercial areas.
  • E. Line 3
    Line 3 is a major line of the Moscow Metro system, known for serving central Moscow and connecting key residential and commercial districts.
  • 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 line
Triple: [S-Bahn station Berlin Grunewald, servedBy, S3 line]
Generated description
The S3 line is a route of the Berlin S-Bahn urban rail network that connects various districts across the city and serves stations such as Berlin Grunewald.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: S3 line
Target entity description: The S3 line is a route of the Berlin S-Bahn urban rail network that connects various districts across the city and serves stations such as Berlin Grunewald.
  • A. S3 line
    The S3 line is a route of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area in Germany.
  • B. S3 line
    The S3 line is a commuter rail service within the Zürich S-Bahn network that connects Zürich with its surrounding suburbs and regional destinations.
  • C. 3 Line
    The 3 Line is a New York City Subway service that runs on the IRT Eastern Parkway and Lenox Avenue lines, connecting Brooklyn with Manhattan and the Bronx.
  • D. Line 3
    Line 3 is one of the main lines of the Mexico City Metro system, running in a generally north–south direction and serving several key residential and commercial areas.
  • E. Line 3
    Line 3 is one of the main lines of the Barcelona Metro system, running through central parts of the city and connecting several key stations and neighborhoods.
  • 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_69c008a68c508190a8d78245c865960e completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d94c47481909745b2533926a1ca completed March 22, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141b200788190bd8d968edba53e5f completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c148476d2481909da6cebc4f0422e2 completed March 23, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69c148c2be64819099170df84a904eb9 completed March 23, 2026, 2:05 p.m.
Created at: March 22, 2026, 4:18 p.m.