Triple

T454746
Position Surface form Disambiguated ID Type / Status
Subject Deutschlandlied E7208 entity
Predicate controversyReason P6503 FINISHED
Object association of first stanza with nationalist and Nazi propaganda LITERAL 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: association of first stanza with nationalist and Nazi propaganda | Statement: [Deutschlandlied, controversyReason, association of first stanza with nationalist and Nazi propaganda]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controversyReason
Context triple: [Deutschlandlied, controversyReason, association of first stanza with nationalist and Nazi propaganda]
  • A. controversy
    Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
  • B. locationOfControversy
    Indicates the place or setting where a dispute, debate, or controversy occurs or is centered.
  • C. debatedAsCauseOf
    Indicates that one entity is discussed or argued over as a possible cause or origin of another entity.
  • D. contestedBy
    Indicates that one party challenges, disputes, or opposes a claim, decision, or position held by another party.
  • E. reasonForConflict chosen
    Indicates that one entity is the cause, motive, or underlying issue leading to a conflict involving another entity.
  • F. None of above.

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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef87cc7c8190a0fec933457821e2 completed Feb. 28, 2026, 1:37 p.m.
PD Predicate disambiguation batch_69a2ede4de008190b5a6c159e741522e completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.