Triple

T21123954
Position Surface form Disambiguated ID Type / Status
Subject Commander of U-boats E520501 entity
Predicate shortName P43 FINISHED
Object BdU
BdU was the German World War II command authority responsible for directing and overseeing the operations of the Kriegsmarine’s U-boat fleet.
E1468192 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: BdU | Statement: [Commander of U-boats, shortName, BdU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BdU
Context triple: [Commander of U-boats, shortName, BdU]
  • A. BdE
    BdE is the commonly used abbreviation for the Bank of Spain, the country’s central bank responsible for monetary policy and financial supervision.
  • B. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • C. Bdl
    Bdl is the station code for Bloemendaal railway station in the Netherlands.
  • D. BDU
    BDU is a military uniform type commonly associated with the standard camouflage combat attire used by the U.S. armed forces from the early 1980s through the mid-2000s.
  • E. BDN
    BDN is the National Rail station code for Brading railway station on the Isle of Wight, England.
  • 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: BdU
Triple: [Commander of U-boats, shortName, BdU]
Generated description
BdU was the German World War II command authority responsible for directing and overseeing the operations of the Kriegsmarine’s U-boat fleet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BdU
Target entity description: BdU was the German World War II command authority responsible for directing and overseeing the operations of the Kriegsmarine’s U-boat fleet.
  • A. BdE
    BdE is the commonly used abbreviation for the Bank of Spain, the country’s central bank responsible for monetary policy and financial supervision.
  • B. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • C. Bdl
    Bdl is the station code for Bloemendaal railway station in the Netherlands.
  • D. BDU
    BDU is a military uniform type commonly associated with the standard camouflage combat attire used by the U.S. armed forces from the early 1980s through the mid-2000s.
  • E. BDN
    BDN is the National Rail station code for Brading railway station on the Isle of Wight, England.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72236b2d88190bef9f0cd6924ca92 completed April 21, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965eb985081908e83e65d104e25ee completed May 17, 2026, 6:53 a.m.
NEDg Description generation batch_6a0966f894d48190b6841c35a9aab417 completed May 17, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_6a096adfd4248190a26c513278e7b334 completed May 17, 2026, 7:14 a.m.
Created at: April 16, 2026, 2:56 p.m.