Triple

T6336008
Position Surface form Disambiguated ID Type / Status
Subject Berlin Hauptbahnhof E142491 entity
Predicate stationCode P1289 FINISHED
Object BLS
BLS is the station code for Berlin Hauptbahnhof, the main railway station in Berlin, Germany.
 E586034 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: [Berlin Hauptbahnhof, stationCode, BLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BLS
Context triple: [Berlin Hauptbahnhof, stationCode, BLS]
  • A. 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.
  • B. BLS
    BLS is the principal U.S. federal agency that collects, analyzes, and disseminates essential economic data on labor markets, prices, and productivity.
  • C. BLS AG
    BLS AG is a major Swiss railway company that operates regional and commuter train services, particularly in and around the canton of Bern.
  • D. BSL
    BSL is the IATA airport code for EuroAirport Basel–Mulhouse–Freiburg, the international airport serving the tri-border region of Switzerland, France, and Germany.
  • E. BSL
    BSL is the primary sign language used by Deaf communities in the United Kingdom, with its own distinct grammar and vocabulary separate from spoken English.
  • 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: [Berlin Hauptbahnhof, stationCode, BLS]
Generated description
BLS is the station code for Berlin Hauptbahnhof, the main railway station in Berlin, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BLS
Target entity description: BLS is the station code for Berlin Hauptbahnhof, the main railway station in Berlin, Germany.
  • 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 AG
    BLS AG is a major Swiss railway company that operates regional and commuter train services, particularly in and around the canton of Bern.
  • D. BSL
    BSL is the IATA airport code for EuroAirport Basel–Mulhouse–Freiburg, the international airport serving the tri-border region of Switzerland, France, and Germany.
  • E. BSL
    BSL is the primary sign language used by Deaf communities in the United Kingdom, with its own distinct grammar and vocabulary separate from spoken English.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0654a88a881908d5cb2aa7f22c4c7 completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6042ab22c8190a7486049f45a546b completed March 27, 2026, 4:14 a.m.
NEDg Description generation batch_69c6056435b481908a63a880b7bcd489 completed March 27, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_69c605f2369c819080fd52282b20437e completed March 27, 2026, 4:22 a.m.
Created at: March 22, 2026, 4:30 p.m.