Triple

T8026134
Position Surface form Disambiguated ID Type / Status
Subject August Borsig E186858 entity
Predicate familyName P18 FINISHED
Object Borsig
Borsig is a German surname most prominently associated with August Borsig, a 19th-century industrialist and locomotive manufacturer.
 E706145 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: Borsig | Statement: [August Borsig, familyName, Borsig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Borsig
Context triple: [August Borsig, familyName, Borsig]
  • A. Borsigwerke
    Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
  • B. Gothaer Waggonfabrik
    Gothaer Waggonfabrik was a German industrial company best known for producing military aircraft, including heavy bombers, during World War I.
  • C. Sieg Railway
    The Sieg Railway is a German rail line that runs through the Sieg Valley, connecting towns and cities along the River Sieg in North Rhine-Westphalia and Rhineland-Palatinate.
  • D. Suter
    Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
  • E. Steyr-Daimler-Puch
    Steyr-Daimler-Puch was a major Austrian industrial conglomerate best known for producing firearms, vehicles, and machinery throughout the 20th century.
  • 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: Borsig
Triple: [August Borsig, familyName, Borsig]
Generated description
Borsig is a German surname most prominently associated with August Borsig, a 19th-century industrialist and locomotive manufacturer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Borsig
Target entity description: Borsig is a German surname most prominently associated with August Borsig, a 19th-century industrialist and locomotive manufacturer.
  • A. Borsigwerke
    Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
  • B. Gothaer Waggonfabrik
    Gothaer Waggonfabrik was a German industrial company best known for producing military aircraft, including heavy bombers, during World War I.
  • C. Sieg Railway
    The Sieg Railway is a German rail line that runs through the Sieg Valley, connecting towns and cities along the River Sieg in North Rhine-Westphalia and Rhineland-Palatinate.
  • D. Suter
    Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
  • E. Steyr-Daimler-Puch
    Steyr-Daimler-Puch was a major Austrian industrial conglomerate best known for producing firearms, vehicles, and machinery throughout the 20th century.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ecb00648190bb3144acf3492bb3 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56da597c8190931091482d60b0a6 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58aac4288190a2be4691fc740171 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cbf8278819085ff32a0494d544e completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:21 p.m.