Triple

T21513380
Position Surface form Disambiguated ID Type / Status
Subject Zoologischer Garten station E530782 entity
Predicate hasStationCode P1289 FINISHED
Object BLS
BLS is the station code for Berlin’s Zoologischer Garten railway station, a major transport hub in the German capital.
 E1487853 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: BLS | Statement: [Zoologischer Garten station, hasStationCode, BLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BLS
Context triple: [Zoologischer Garten station, hasStationCode, BLS]
  • A. BLS
    BLS is the station code for Berlin Hauptbahnhof, the main railway station in Berlin, Germany.
  • B. BLS
    BLS is the ICAO airline designator assigned to Bearskin Airlines, a Canadian regional carrier.
  • C. BLS
    BLS is the principal U.S. federal agency that collects, analyzes, and disseminates essential economic data on labor markets, prices, and productivity.
  • D. BLS
    BLS is the former New York Stock Exchange ticker symbol for BellSouth Corporation, a major U.S. telecommunications company that was later acquired by AT&T.
  • E. BLS
    BLS is the station code for Berlin-Spandau station, a major railway hub in Berlin, Germany.
  • 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: BLS
Triple: [Zoologischer Garten station, hasStationCode, BLS]
Generated description
BLS is the station code for Berlin’s Zoologischer Garten railway station, a major transport hub in the German capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BLS
Target entity description: BLS is the station code for Berlin’s Zoologischer Garten railway station, a major transport hub in the German capital.
  • A. BLS
    BLS is the principal U.S. federal agency that collects, analyzes, and disseminates essential economic data on labor markets, prices, and productivity.
  • B. BLS
    BLS is the former New York Stock Exchange ticker symbol for BellSouth Corporation, a major U.S. telecommunications company that was later acquired by AT&T.
  • C. BLS
    BLS is the station code for Berlin Hauptbahnhof, the main railway station in Berlin, Germany.
  • D. BLS
    BLS is the station code for Berlin-Spandau station, a major railway hub in Berlin, Germany.
  • E. BLS
    BLS is the ICAO airline designator assigned to Bearskin Airlines, a Canadian regional carrier.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea88e6fc8190a4b73b8d32dae5a8 completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e145ac5c8190a05cc2a80d28cac3 completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e1fc4f7881909e198768cdb43747 completed May 17, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09e2c86858819092216c12d8aa3348 completed May 17, 2026, 3:46 p.m.
Created at: April 16, 2026, 6:25 p.m.