Triple

T23304946
Position Surface form Disambiguated ID Type / Status
Subject Bundesplatz E590408 entity
Predicate railwayStationCode P1289 FINISHED
Object BPL
BPL is the station code for Bundesplatz, a public transit stop in Berlin, Germany.
 E1580923 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: BPL | Statement: [Bundesplatz, railwayStationCode, BPL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BPL
Context triple: [Bundesplatz, railwayStationCode, BPL]
  • A. BPL
    BPL is the station code for Bayerischer Platz, a Berlin U-Bahn station in Germany.
  • B. BPL
    BPL is a professional Twenty20 cricket league in Bangladesh featuring franchise teams competing in a fast-paced tournament format.
  • C. BUPL
    BUPL is a Danish trade union representing early childhood educators and pedagogical staff.
  • D. BVL
    BVL is Germany’s Federal Office of Consumer Protection and Food Safety, the national authority responsible for ensuring food safety and protecting consumer health.
  • E. BPC
    BPC is the commonly used abbreviation for the Bryant Park Corporation, the nonprofit organization that manages and maintains Bryant Park in New York City.
  • 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: BPL
Triple: [Bundesplatz, railwayStationCode, BPL]
Generated description
BPL is the station code for Bundesplatz, a public transit stop in Berlin, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BPL
Target entity description: BPL is the station code for Bundesplatz, a public transit stop in Berlin, Germany.
  • A. BPL
    BPL is the station code for Bayerischer Platz, a Berlin U-Bahn station in Germany.
  • B. BPL
    BPL is a professional Twenty20 cricket league in Bangladesh featuring franchise teams competing in a fast-paced tournament format.
  • C. BUPL
    BUPL is a Danish trade union representing early childhood educators and pedagogical staff.
  • D. BVL
    BVL is Germany’s Federal Office of Consumer Protection and Food Safety, the national authority responsible for ensuring food safety and protecting consumer health.
  • E. BPC
    BPC is the commonly used abbreviation for the Bryant Park Corporation, the nonprofit organization that manages and maintains Bryant Park in New York City.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19725b248819089e61efb82e3440f completed April 29, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4c9934ec819094ebbe6e61d18ab7 completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4f37e390819083df9a959acf3a32 completed May 19, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4fdafde88190a7ac791189acde68 completed May 19, 2026, 11:56 a.m.
Created at: April 17, 2026, 5:04 p.m.