Triple

T15866220
Position Surface form Disambiguated ID Type / Status
Subject SMS Goeben E384719 entity
Predicate renamedAs P65 FINISHED
Object Yavuz
Yavuz was a German-built battlecruiser that served in the Ottoman and later Turkish Navy, becoming a symbol of Turkish naval power in the early 20th century.
E1181793 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: Yavuz | Statement: [SMS Goeben, renamedAs, Yavuz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yavuz
Context triple: [SMS Goeben, renamedAs, Yavuz]
  • A. Turgut
    Turgut is a masculine Turkish given name most notably borne by the influential modernist poet Turgut Uyar.
  • B. Uluç Ali Reis
    Uluç Ali Reis was a 16th-century Ottoman admiral and corsair of Italian origin who rose to become Kapudan Pasha (grand admiral) of the Ottoman fleet and distinguished himself at the Battle of Lepanto.
  • C. Nuri
    Nuri is an ancient archaeological site in northern Sudan that served as a royal necropolis for Nubian kings and queens, featuring a significant concentration of Kushite pyramids.
  • D. Nuri
    Nuri is South Korea’s domestically developed three-stage orbital launch vehicle designed to place satellites into low Earth orbit.
  • E. Albayrak
    Albayrak is a Turkish surname most prominently associated with Berat Albayrak, a businessman and former Turkish finance minister.
  • 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: Yavuz
Triple: [SMS Goeben, renamedAs, Yavuz]
Generated description
Yavuz was a German-built battlecruiser that served in the Ottoman and later Turkish Navy, becoming a symbol of Turkish naval power in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yavuz
Target entity description: Yavuz was a German-built battlecruiser that served in the Ottoman and later Turkish Navy, becoming a symbol of Turkish naval power in the early 20th century.
  • A. Turgut
    Turgut is a masculine Turkish given name most notably borne by the influential modernist poet Turgut Uyar.
  • B. Uluç Ali Reis
    Uluç Ali Reis was a 16th-century Ottoman admiral and corsair of Italian origin who rose to become Kapudan Pasha (grand admiral) of the Ottoman fleet and distinguished himself at the Battle of Lepanto.
  • C. Nuri
    Nuri is an ancient archaeological site in northern Sudan that served as a royal necropolis for Nubian kings and queens, featuring a significant concentration of Kushite pyramids.
  • D. Nuri
    Nuri is South Korea’s domestically developed three-stage orbital launch vehicle designed to place satellites into low Earth orbit.
  • E. Albayrak
    Albayrak is a Turkish surname most prominently associated with Berat Albayrak, a businessman and former Turkish finance minister.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555f75e88190bfd0f551d4ccf4cc completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa947ba3881909c602f2fc60dd6e8 completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffa9d6ae788190864b77b787f647eb completed May 9, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_69ffaa973274819080889e1b9883b8dc completed May 9, 2026, 9:43 p.m.
Created at: April 10, 2026, 4:50 a.m.