Triple

T4997057
Position Surface form Disambiguated ID Type / Status
Subject Trotzdem E112272 entity
Predicate workChronologyOfSubject P32272 FINISHED
Object life of Hans-Ulrich Rudel during World War II 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: life of Hans-Ulrich Rudel during World War II | Statement: [Trotzdem, workChronologyOfSubject, life of Hans-Ulrich Rudel during World War II]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: workChronologyOfSubject
Context triple: [Trotzdem, workChronologyOfSubject, life of Hans-Ulrich Rudel during World War II]
  • A. workInChronologyOfAuthor
    Indicates that a work appears within, and is ordered as part of, the chronological sequence of an author's creations or publications.
  • B. Chronica_subject
    Indicates that an entity serves as the subject or main focus of a chronicle, record, or historical account.
  • C. chronologicallyCovers
    Indicates that one time period, event, or sequence extends over and includes the entire chronological span of another.
  • D. workChronicles chosen
    Indicates that one entity documents, records, or narrates the work-related activities, history, or experiences of another entity.
  • E. involvesChronology
    Indicates that the relationship or action explicitly depends on, references, or organizes events according to their order or position in time.
  • 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_69bd4432b32c81909f3b3c6bd10f0653 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7472a1dc8190942f568a81fdd961 completed March 20, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69bd714aee2481908fb0dd5fa2daf3a1 completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:34 p.m.