Triple

T12367168
Position Surface form Disambiguated ID Type / Status
Subject Atlantic white cedar forest E294901 entity
Predicate regeneratesBy P43601 FINISHED
Object seedling establishment on exposed peat 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: seedling establishment on exposed peat | Statement: [Atlantic white cedar forest, regeneratesBy, seedling establishment on exposed peat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regeneratesBy
Context triple: [Atlantic white cedar forest, regeneratesBy, seedling establishment on exposed peat]
  • A. regenerationOf
    Indicates that one entity is the renewed, restored, or regrown version of another entity, typically after damage, loss, or degradation.
  • B. regeneratesInto
    Indicates that one entity transforms or is restored into another entity, typically as a result of a regenerative process.
  • C. repopulatedBy chosen
    Indicates that something is populated again or refilled with members or inhabitants by a specified agent or source.
  • D. regenerationContinuedIn
    Indicates that an ongoing process of regeneration persists or is maintained within a specified context, location, or time period.
  • E. regenerationAbility
    Indicates the capability of an entity to restore or regrow lost or damaged parts of itself.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d942a2d6e08190a13c7ff89af09354 completed April 10, 2026, 6:34 p.m.
PD Predicate disambiguation batch_69d93ecf6b548190a394b6b56a0c1c68 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:54 p.m.