Triple

T9472502
Position Surface form Disambiguated ID Type / Status
Subject 1939–1945 Star E228425 entity
Predicate relatedTo P37 FINISHED
Object Burma Star
The Burma Star is a British Commonwealth campaign medal awarded for service in the Burma Campaign during World War II.
 E801398 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: Burma Star | Statement: [1939–1945 Star, relatedTo, Burma Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burma Star
Context triple: [1939–1945 Star, relatedTo, Burma Star]
  • A. Burma Theater
    The Burma Theater was a major World War II combat zone in Southeast Asia where Allied forces fought primarily against Japan to secure supply routes and support Chinese resistance.
  • B. Jade Warrior
    Jade Warrior is a British progressive rock band known for its atmospheric, experimental sound blending rock, jazz, and world music influences.
  • C. Silver Star
    The Silver Star is a high-level U.S. military decoration awarded for gallantry in action against an enemy of the United States.
  • D. Silver Star
    Silver Star is a long-distance Amtrak passenger train that runs along the U.S. East Coast, connecting New York City with Florida.
  • E. Silver Star
    Silver Star is a large steel roller coaster at Europa-Park in Germany, known for its high speed, significant height, and smooth hypercoaster design.
  • 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: Burma Star
Triple: [1939–1945 Star, relatedTo, Burma Star]
Generated description
The Burma Star is a British Commonwealth campaign medal awarded for service in the Burma Campaign during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burma Star
Target entity description: The Burma Star is a British Commonwealth campaign medal awarded for service in the Burma Campaign during World War II.
  • A. Burma Theater
    The Burma Theater was a major World War II combat zone in Southeast Asia where Allied forces fought primarily against Japan to secure supply routes and support Chinese resistance.
  • B. Jade Warrior
    Jade Warrior is a British progressive rock band known for its atmospheric, experimental sound blending rock, jazz, and world music influences.
  • C. Silver Star
    The Silver Star is a high-level U.S. military decoration awarded for gallantry in action against an enemy of the United States.
  • D. Silver Star
    Silver Star is a long-distance Amtrak passenger train that runs along the U.S. East Coast, connecting New York City with Florida.
  • E. Silver Star
    Silver Star is a large steel roller coaster at Europa-Park in Germany, known for its high speed, significant height, and smooth hypercoaster design.
  • 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.