Triple

T14504941
Position Surface form Disambiguated ID Type / Status
Subject Wasserstraßen- und Schifffahrtsverwaltung des Bundes E340239 entity
Predicate shortName P43 FINISHED
Object WSV
WSV is the German Federal Waterways and Shipping Administration responsible for managing and maintaining the country’s federal waterways and ensuring safe and efficient shipping.
 E1102228 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: WSV | Statement: [Wasserstraßen- und Schifffahrtsverwaltung des Bundes, shortName, WSV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WSV
Context triple: [Wasserstraßen- und Schifffahrtsverwaltung des Bundes, shortName, WSV]
  • A. WSW
    WSW is a professional football club based in Western Sydney, Australia, competing in the A-League Men.
  • B. WSW
    WSW is the commonly used abbreviation for World Space Week, an annual international celebration of science and technology and their contribution to the betterment of the human condition.
  • C. WSW
    WSW is the National Rail station code assigned to Wandsworth Common railway station in London, England.
  • D. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • E. SWV
    SWV (Sisters With Voices) is an American R&B girl group best known for their 1990s hits like "Weak," "Right Here/Human Nature," and "I'm So Into You."
  • 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: WSV
Triple: [Wasserstraßen- und Schifffahrtsverwaltung des Bundes, shortName, WSV]
Generated description
WSV is the German Federal Waterways and Shipping Administration responsible for managing and maintaining the country’s federal waterways and ensuring safe and efficient shipping.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WSV
Target entity description: WSV is the German Federal Waterways and Shipping Administration responsible for managing and maintaining the country’s federal waterways and ensuring safe and efficient shipping.
  • A. WSW
    WSW is a professional football club based in Western Sydney, Australia, competing in the A-League Men.
  • B. WSW
    WSW is the commonly used abbreviation for World Space Week, an annual international celebration of science and technology and their contribution to the betterment of the human condition.
  • C. WSW
    WSW is the National Rail station code assigned to Wandsworth Common railway station in London, England.
  • D. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • E. SWV
    SWV (Sisters With Voices) is an American R&B girl group best known for their 1990s hits like "Weak," "Right Here/Human Nature," and "I'm So Into You."
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e25a2481908b8394e9a19f3b64 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da07ff481909fb2463b0ea92849 completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6eca4ff48190b7c16d92234cb43c completed May 8, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_69fd6f38ea788190a957419ca1971b15 completed May 8, 2026, 5:06 a.m.
Created at: April 10, 2026, 1:21 a.m.