Triple

T11215151
Position Surface form Disambiguated ID Type / Status
Subject Dehn algorithm E265416 entity
Predicate stopsWhen P29156 FINISHED
Object no further length-reducing relator replacements are possible 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: no further length-reducing relator replacements are possible | Statement: [Dehn algorithm, stopsWhen, no further length-reducing relator replacements are possible]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stopsWhen
Context triple: [Dehn algorithm, stopsWhen, no further length-reducing relator replacements are possible]
  • A. terminatesOn
    Indicates that one process, event, or state causes or marks the ending of another at a specific time or condition.
  • B. terminationCondition chosen
    Indicates the condition or set of conditions under which an ongoing process, activity, or relationship is brought to an end.
  • C. stoppedAt
    Indicates that an entity has come to a halt or pause at a specific location or point in time.
  • D. stopsPattern
    Indicates that one entity halts, interrupts, or prevents the continuation of a recurring or structured pattern involving another entity.
  • E. terminalCondition
    Indicates the condition or set of conditions under which a process, interaction, or state is considered complete and should terminate.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8e8eef48190932a85784ce15c86 completed April 9, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69d75cfbbb188190861efd5d94fe27da completed April 9, 2026, 8:02 a.m.
Created at: April 8, 2026, 9:30 p.m.