Triple

T30821030
Position Surface form Disambiguated ID Type / Status
Subject Coastal Douglas-fir zone E784919 entity
Predicate hasAssociatedTreeSpecies P6706 FINISHED
Object Garry oak
Garry oak is a hardy, drought-tolerant deciduous oak tree native to western North America, particularly characteristic of dry coastal and lowland ecosystems.
E1934483 NE FINISHED

How this triple was built (3 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: Garry oak | Statement: [Coastal Douglas-fir zone, hasAssociatedTreeSpecies, Garry oak]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Garry oak
Triple: [Coastal Douglas-fir zone, hasAssociatedTreeSpecies, Garry oak]
Generated description
Garry oak is a hardy, drought-tolerant deciduous oak tree native to western North America, particularly characteristic of dry coastal and lowland ecosystems.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAssociatedTreeSpecies
Context triple: [Coastal Douglas-fir zone, hasAssociatedTreeSpecies, Garry oak]
  • A. hasForestAssociation
    Indicates an ecological or contextual relationship in which an entity is associated with, influenced by, or characteristically occurs in forest environments.
  • B. hasTrees
    Indicates that something possesses or contains one or more trees.
  • C. hasForestType
    Indicates that an area or location is characterized by a specific type or classification of forest.
  • D. hasTree chosen
    Indicates that one entity possesses, contains, or is associated with a tree.
  • E. hasScientificNameOfDominantTree
    Indicates the scientific (Latin) name of the tree species that is dominant in a given area or context.
  • F. None of above.

Provenance (6 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_69f224b6642481909e8d701de2cd1a53 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f74062b9388190b30546cf700a825c completed May 3, 2026, 12:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbe77368819093b2b9832db29d64 completed June 10, 2026, 1:20 a.m.
NEDg Description generation batch_6a28bcbbade88190a0782743d0033602 completed June 10, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_6a28c0d7003881909b928df3a07d09ea completed June 10, 2026, 1:41 a.m.
PD Predicate disambiguation batch_69f73c802b848190b61a416b7488bd96 completed May 3, 2026, 12:16 p.m.
Created at: April 29, 2026, 8:44 p.m.