Triple

T28791710
Position Surface form Disambiguated ID Type / Status
Subject Redwood Grove Loop Trail E726971 entity
Predicate primaryFlora P83264 FINISHED
Object Sequoia sempervirens NE NERFINISHED

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: Sequoia sempervirens | Statement: [Redwood Grove Loop Trail, primaryFlora, Sequoia sempervirens]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryFlora
Context triple: [Redwood Grove Loop Trail, primaryFlora, Sequoia sempervirens]
  • A. primaryEcosystem
    Indicates the main type of ecosystem in which an entity predominantly exists or operates.
  • B. associatedFlora chosen
    Indicates a relationship where specific plants or vegetation are characteristically linked to, occur with, or are commonly found in association with a given entity or environment.
  • C. studiedFloraOf
    Indicates that a subject conducted research or examination on the plant life (flora) of a specified object or region.
  • D. primaryAISpecies
    Indicates that one species is the main or dominant species associated with a particular AI system or AI-related context.
  • E. primaryCult
    Indicates that an entity serves as the main or most significant object of religious worship or veneration for another entity.
  • 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_69f0319aabec81908368720196f69a35 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_6a0079e152648190a9da2add94fc1831 completed May 10, 2026, 12:28 p.m.
PD Predicate disambiguation batch_6a0078f77f9c8190af357a6016a2bd53 completed May 10, 2026, 12:24 p.m.
Created at: April 28, 2026, 6:23 a.m.