Triple

T6006043
Position Surface form Disambiguated ID Type / Status
Subject Morchella esculenta E133711 entity
Predicate associatedWithTree P68706 FINISHED
Object ash 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: ash | Statement: [Morchella esculenta, associatedWithTree, ash]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithTree
Context triple: [Morchella esculenta, associatedWithTree, ash]
  • A. associatedWithAssociation
    Indicates a relationship where an entity is linked or connected to a particular association or organization.
  • B. associatedWithRight
    Indicates a relationship in which an entity is connected to, linked with, or related to something characterized as "right" (such as a right-hand side, a legal right, or a correct option), depending on the domain context.
  • C. associatedWithDescendants
    Indicates that an entity has a relationship or connection specifically involving the descendants of another entity.
  • D. associatedWithElement
    Indicates a relationship where one entity is linked or connected to a particular element, such that the element is relevant to, involved in, or characteristic of that entity.
  • E. associatedWithSee
    Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f128354819088971ee398cbda77 completed March 22, 2026, 8:20 p.m.
PD Predicate disambiguation batch_69c049e4daf4819099bf870dc700e0a2 completed March 22, 2026, 7:58 p.m.
PDg Predicate description generation batch_69c04e8c5bfc8190b986a7071d1b23e3 completed March 22, 2026, 8:18 p.m.
Created at: March 22, 2026, 4:06 p.m.