Triple

T4997008
Position Surface form Disambiguated ID Type / Status
Subject Wound Badge in Gold E112271 entity
Predicate GermanName P6492 FINISHED
Object Verwundetenabzeichen in Gold E112271 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: Verwundetenabzeichen in Gold | Statement: [Wound Badge in Gold, GermanName, Verwundetenabzeichen in Gold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verwundetenabzeichen in Gold
Context triple: [Wound Badge in Gold, GermanName, Verwundetenabzeichen in Gold]
  • A. Wound Badge in Gold chosen
    The Wound Badge in Gold was a high-level German military decoration of Nazi Germany awarded to soldiers who had been severely or repeatedly wounded in combat.
  • B. Wound Badge
    The Wound Badge was a German military decoration awarded during both World Wars to soldiers who were wounded in combat.
  • C. O Haupt voll Blut und Wunden
    "O Haupt voll Blut und Wunden" is a famous German Passion chorale, best known from its multiple settings by J.S. Bach, reflecting on the suffering and death of Christ.
  • D. Blood and Gold
    Blood and Gold is the traditional nickname of French football club RC Lens, referencing the club’s iconic red and yellow colors.
  • E. The Gold and the Blue
    The Gold and the Blue is a two-volume memoir by former University of California president Clark Kerr, chronicling the history, politics, and transformation of the UC system in the mid-20th century.
  • 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_69bd4432b32c81909f3b3c6bd10f0653 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72a130708190b9bc1393ba78bfb1 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a3489f08190a338de8d8be09813 completed March 21, 2026, 12:08 p.m.
Created at: March 20, 2026, 1:34 p.m.