Triple

T9472500
Position Surface form Disambiguated ID Type / Status
Subject 1939–1945 Star E228425 entity
Predicate relatedTo P37 FINISHED
Object Africa Star
The Africa Star is a British Commonwealth campaign medal awarded for operational service in North Africa during the Second World War.
 E801397 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: Africa Star | Statement: [1939–1945 Star, relatedTo, Africa Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Africa Star
Context triple: [1939–1945 Star, relatedTo, Africa Star]
  • A. Bintang
    Bintang is a popular Indonesian beer brand known for its pale lager style and wide distribution across Southeast Asia.
  • B. Northern Star
    Northern Star was a prominent 19th-century British Chartist newspaper that served as a key voice and organizing tool for the working-class political reform movement.
  • C. Northern Star
    Northern Star is the independent student-run newspaper serving the Northern Illinois University community with campus news, features, and commentary.
  • D. Yıldız
    Yıldız is a Turkish feminine given name meaning "star," commonly used in Turkey and among Turkish-speaking communities.
  • E. Almaz
    "Almaz" is a soulful 1986 jazz and R&B ballad by American singer Randy Crawford, known for its smooth vocals and romantic, melodic style.
  • 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: Africa Star
Triple: [1939–1945 Star, relatedTo, Africa Star]
Generated description
The Africa Star is a British Commonwealth campaign medal awarded for operational service in North Africa during the Second World War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Africa Star
Target entity description: The Africa Star is a British Commonwealth campaign medal awarded for operational service in North Africa during the Second World War.
  • A. Bintang
    Bintang is a popular Indonesian beer brand known for its pale lager style and wide distribution across Southeast Asia.
  • B. Northern Star
    Northern Star was a prominent 19th-century British Chartist newspaper that served as a key voice and organizing tool for the working-class political reform movement.
  • C. Northern Star
    Northern Star is the independent student-run newspaper serving the Northern Illinois University community with campus news, features, and commentary.
  • D. Yıldız
    Yıldız is a Turkish feminine given name meaning "star," commonly used in Turkey and among Turkish-speaking communities.
  • E. Almaz
    "Almaz" is a soulful 1986 jazz and R&B ballad by American singer Randy Crawford, known for its smooth vocals and romantic, melodic style.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fef6f288190b2d158c829b31de9 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122d625fc8190b8222930449ad3da completed April 4, 2026, 2:40 p.m.
NEDg Description generation batch_69d12395841c8190857de8a50ab6345c completed April 4, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69d1275bcbd88190a5742a9cf802425a completed April 4, 2026, 2:59 p.m.
Created at: March 30, 2026, 7:54 p.m.