Triple

T5003128
Position Surface form Disambiguated ID Type / Status
Subject Badge of Military Merit E112420 entity
Predicate relatedTo P37 FINISHED
Object Purple Heart E20461 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: Purple Heart | Statement: [Badge of Military Merit, relatedTo, Purple Heart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Purple Heart
Context triple: [Badge of Military Merit, relatedTo, Purple Heart]
  • A. Purple Heart chosen
    The Purple Heart is a United States military decoration awarded to service members who are wounded or killed in action against an enemy.
  • B. Silver Star Medal
    The Silver Star Medal is a high-level United States military decoration awarded for gallantry in action against an enemy of the United States.
  • C. Bronze Star Medal
    The Bronze Star Medal is a United States military decoration awarded for heroic or meritorious achievement or service in a combat zone.
  • D. Medalla Militar
    The Medalla Militar is a distinguished Spanish military decoration awarded for acts of exceptional valor and bravery in combat.
  • E. Virtuti Militari
    Virtuti Militari is Poland’s highest military decoration for valor in the face of the enemy, awarded for exceptional bravery and leadership in combat.
  • 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_69bd4433d0b08190877e83959ef40d81 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72c062d08190b755fa7461839f52 completed March 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c57f3e88190a3059b6bd9b38a07 completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:35 p.m.