Triple

T8715211
Position Surface form Disambiguated ID Type / Status
Subject Haferlschuhe E206875 entity
Predicate hasClosure P84050 FINISHED
Object laces 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: laces | Statement: [Haferlschuhe, hasClosure, laces]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClosure
Context triple: [Haferlschuhe, hasClosure, laces]
  • A. closureType
    Indicates the specific manner or condition in which something is closed, completed, or terminated within a process or relationship.
  • B. subjectToClosure
    Indicates that an entity is liable or scheduled to be closed, discontinued, or shut down under certain conditions or plans.
  • C. conditionAfterClosure
    Indicates the state or circumstances that exist after a process, event, or entity has been formally closed or concluded.
  • D. closureBy
    Indicates that one entity causes, performs, or is responsible for the closing or termination of another entity, event, or process.
  • E. closureAffected
    Indicates that an entity is impacted or influenced by the closing or termination of another entity, process, or resource.
  • F. None of above. chosen

Provenance (4 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd807cc819090b58caf285b397a completed March 31, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69cc456e806c819087e7d66ee737f242 completed March 31, 2026, 10:06 p.m.
PDg Predicate description generation batch_69cc46c40c54819093d174a4203f9515 completed March 31, 2026, 10:12 p.m.
Created at: March 30, 2026, 6:35 p.m.