Triple

T1498268
Position Surface form Disambiguated ID Type / Status
Subject Flick Trial E29735 entity
Predicate resultForOttoSteinbrinck P374 FINISHED
Object convicted 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: convicted | Statement: [Flick Trial, resultForOttoSteinbrinck, convicted]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resultForOttoSteinbrinck
Context triple: [Flick Trial, resultForOttoSteinbrinck, convicted]
  • A. resultForDutchRepublic
    Indicates the outcome or consequence that pertains specifically to the Dutch Republic in a given event or context.
  • B. AustrianObjective
    Indicates that an entity has an objective, goal, or purpose specifically associated with Austria or Austrian context.
  • C. result chosen
    Indicates that one entity is produced, caused, or brought about as an outcome or consequence of another entity or process.
  • D. resultDetermination
    Indicates the process or criteria by which an outcome, decision, or result is established or concluded from given inputs or conditions.
  • E. AustrianStrength
    Indicates a relationship where an entity possesses or exhibits strength specifically associated with Austria, such as Austrian power, influence, or capability.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6ef5ce88190a6b520525a6d42a3 completed March 1, 2026, 11:08 p.m.
PD Predicate disambiguation batch_69a4c48a8cf48190a6ebf8d44a608a06 completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:12 p.m.