Triple

T16972468
Position Surface form Disambiguated ID Type / Status
Subject Berlin-Westkreuz station E411719 entity
Predicate hasStationCode P1289 FINISHED
Object BWEK
BWEK is the station code used to identify Berlin-Westkreuz railway station in Germany’s rail network.
E1243179 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: BWEK | Statement: [Berlin-Westkreuz station, hasStationCode, BWEK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BWEK
Context triple: [Berlin-Westkreuz station, hasStationCode, BWEK]
  • A. BWE
    BWE is the IATA airport code for Braunschweig-Wolfsburg Airport in Germany.
  • B. BEK
    BEK is the IATA airport code for Bareilly Airport, a domestic airport serving the city of Bareilly in Uttar Pradesh, India.
  • C. BE-WBR
    BE-WBR is the ISO 3166-2 regional code for Walloon Brabant Province in Belgium.
  • D. Bweeng
    Bweeng is a small rural village in County Cork, Ireland, known for its close-knit community and countryside setting.
  • E. BWN
    BWN is the IATA airport code for Brunei International Airport, the main gateway to the nation of Brunei.
  • 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: BWEK
Triple: [Berlin-Westkreuz station, hasStationCode, BWEK]
Generated description
BWEK is the station code used to identify Berlin-Westkreuz railway station in Germany’s rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BWEK
Target entity description: BWEK is the station code used to identify Berlin-Westkreuz railway station in Germany’s rail network.
  • A. BWE
    BWE is the IATA airport code for Braunschweig-Wolfsburg Airport in Germany.
  • B. BEK
    BEK is the IATA airport code for Bareilly Airport, a domestic airport serving the city of Bareilly in Uttar Pradesh, India.
  • C. BE-WBR
    BE-WBR is the ISO 3166-2 regional code for Walloon Brabant Province in Belgium.
  • D. Bweeng
    Bweeng is a small rural village in County Cork, Ireland, known for its close-knit community and countryside setting.
  • E. BWN
    BWN is the IATA airport code for Brunei International Airport, the main gateway to the nation of Brunei.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0ae47f08190a13e98d20aba7f16 completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d471d4248190acf40b6c11926a65 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d503f4f08190a0dcdb050d5bc7a3 completed May 10, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_6a00d5adee908190a13bfc765e7c8f06 completed May 10, 2026, 6:59 p.m.
Created at: April 10, 2026, 5:31 a.m.