Triple

T9472599
Position Surface form Disambiguated ID Type / Status
Subject War Medal 1939–1945 E228427 entity
Predicate relatedAward P219 FINISHED
Object Africa Star E801397 NE FINISHED

How this triple was built (2 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: [War Medal 1939–1945, relatedAward, Africa Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Africa Star
Context triple: [War Medal 1939–1945, relatedAward, Africa Star]
  • A. Africa Star chosen
    The Africa Star is a British Commonwealth campaign medal awarded for operational service in North Africa during the Second World War.
  • B. Bintang
    Bintang is a popular Indonesian beer brand known for its pale lager style and wide distribution across Southeast Asia.
  • C. Northern Star
    Northern Star is the independent student-run newspaper serving the Northern Illinois University community with campus news, features, and commentary.
  • D. 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.
  • E. Yıldız
    Yıldız is a Turkish feminine given name meaning "star," commonly used in Turkey and among Turkish-speaking communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69cd7ff0afd08190871b68a88fdbff2b completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ceb52088190a03963a762c7d30d completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:54 p.m.