Triple

T6771469
Position Surface form Disambiguated ID Type / Status
Subject Wasa language E155051 entity
Predicate hasAlternativeName P39 FINISHED
Object Wasa
Wasa is a Niger-Congo language spoken by the Wasa people, primarily in parts of Ghana.
 E618728 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: Wasa | Statement: [Wasa language, hasAlternativeName, Wasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wasa
Context triple: [Wasa language, hasAlternativeName, Wasa]
  • A. Uskudama
    Uskudama was the ancient Thracian settlement that later developed into the city known as Adrianople (modern Edirne) in present-day Turkey.
  • B. Taiho
    Taiho was a Japanese Imperial Navy aircraft carrier of World War II, notable as Japan’s first fully armored carrier and for its brief service before sinking in the Battle of the Philippine Sea.
  • C. Etajima
    Etajima is a city in Hiroshima Prefecture, Japan, historically known as the site of the Imperial Japanese Naval Academy.
  • D. Gotō
    Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
  • E. Yamagumo
    Yamagumo was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait, part of the larger Battle of Leyte Gulf.
  • 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: Wasa
Triple: [Wasa language, hasAlternativeName, Wasa]
Generated description
Wasa is a Niger-Congo language spoken by the Wasa people, primarily in parts of Ghana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wasa
Target entity description: Wasa is a Niger-Congo language spoken by the Wasa people, primarily in parts of Ghana.
  • A. Uskudama
    Uskudama was the ancient Thracian settlement that later developed into the city known as Adrianople (modern Edirne) in present-day Turkey.
  • B. Taiho
    Taiho was a Japanese Imperial Navy aircraft carrier of World War II, notable as Japan’s first fully armored carrier and for its brief service before sinking in the Battle of the Philippine Sea.
  • C. Etajima
    Etajima is a city in Hiroshima Prefecture, Japan, historically known as the site of the Imperial Japanese Naval Academy.
  • D. Gotō
    Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
  • E. Yamagumo
    Yamagumo was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait, part of the larger Battle of Leyte Gulf.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2496fa08190895d8b625fb0d699 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712c75b9c819099b0be616925a0b9 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c7135106288190b5b20523c3efa229 completed March 27, 2026, 11:31 p.m.
NED2 Entity disambiguation (via description) batch_69c7141cd52c8190a783590ad1067840 completed March 27, 2026, 11:34 p.m.
Created at: March 27, 2026, 2:13 p.m.