Triple

T10327433
Position Surface form Disambiguated ID Type / Status
Subject Prussian Navy E242794 entity
Predicate notableShip P3345 FINISHED
Object SMS Gazelle
SMS Gazelle was a 19th-century Prussian naval warship that served as an important vessel in the development and operations of the Prussian Navy.
E856126 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: SMS Gazelle | Statement: [Prussian Navy, notableShip, SMS Gazelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMS Gazelle
Context triple: [Prussian Navy, notableShip, SMS Gazelle]
  • A. SMS Saida
    SMS Saida was a light cruiser of the Austro-Hungarian Navy that served during World War I in the Adriatic Sea.
  • B. SMS
    SMS (Short Message Service) is a standardized text messaging service that allows mobile devices to exchange short alphanumeric messages over cellular networks.
  • C. SMS
    SMS is a third-generation 8-bit home video game console developed and released by Sega as a competitor to Nintendo’s NES.
  • D. SMS König
    SMS König was a German Kaiser-class battleship that served as the lead ship of her class in the Imperial German Navy during World War I, notably participating in the Battle of Jutland.
  • E. SMS Panther
    SMS Panther was a German gunboat whose 1911 deployment to the Moroccan port of Agadir helped trigger the Second Moroccan Crisis and heighten pre–World War I tensions among European powers.
  • 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: SMS Gazelle
Triple: [Prussian Navy, notableShip, SMS Gazelle]
Generated description
SMS Gazelle was a 19th-century Prussian naval warship that served as an important vessel in the development and operations of the Prussian Navy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SMS Gazelle
Target entity description: SMS Gazelle was a 19th-century Prussian naval warship that served as an important vessel in the development and operations of the Prussian Navy.
  • A. SMS Saida
    SMS Saida was a light cruiser of the Austro-Hungarian Navy that served during World War I in the Adriatic Sea.
  • B. SMS
    SMS (Short Message Service) is a standardized text messaging service that allows mobile devices to exchange short alphanumeric messages over cellular networks.
  • C. SMS
    SMS is a third-generation 8-bit home video game console developed and released by Sega as a competitor to Nintendo’s NES.
  • D. SMS König
    SMS König was a German Kaiser-class battleship that served as the lead ship of her class in the Imperial German Navy during World War I, notably participating in the Battle of Jutland.
  • E. SMS Panther
    SMS Panther was a German gunboat whose 1911 deployment to the Moroccan port of Agadir helped trigger the Second Moroccan Crisis and heighten pre–World War I tensions among European powers.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ce69b881909f27d97c90643634 completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71dafa9308190ae0d3c34ba0c58b1 completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d73189d7cc8190b81bb30994b3900f completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d7329891688190b5c1ec5906728f01 completed April 9, 2026, 5:01 a.m.
Created at: April 6, 2026, 11:51 a.m.