Triple

T15046102
Position Surface form Disambiguated ID Type / Status
Subject Berlin-Spandau station E379228 entity
Predicate stationCode P1289 FINISHED
Object BLS
BLS is the station code for Berlin-Spandau station, a major railway hub in Berlin, Germany.
 E1133526 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-Spandau station, stationCode, BLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BLS
Context triple: [Berlin-Spandau station, stationCode, BLS]
  • A. BLS
    BLS is the station code for Berlin Hauptbahnhof, the main railway station in Berlin, Germany.
  • 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
    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.
  • D. 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.
  • E. BSL
    BSL is a major planned industrial city in Jharkhand, India, known for its large steel plant and role in the country’s steel production.
  • 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-Spandau station, stationCode, BLS]
Generated description
BLS is the station code for Berlin-Spandau station, a major railway hub 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-Spandau station, a major railway hub 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
    BLS is the station code for Berlin Hauptbahnhof, the main railway station in Berlin, Germany.
  • D. 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.
  • E. BSL
    BSL is a major planned industrial city in Jharkhand, India, known for its large steel plant and role in the country’s steel production.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded830c3c08190a87b81abbbb75377 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de73614819098b7a88624407d0e completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fe9f49b1108190a453ef3805006e6c completed May 9, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_69fe9fb79bd08190b22f92df751d0e58 completed May 9, 2026, 2:45 a.m.
Created at: April 10, 2026, 3 a.m.