Triple

T31549996
Position Surface form Disambiguated ID Type / Status
Subject Tulip Festival in Morges E804971 entity
Predicate drawsFamilies P171956 FINISHED
Object yes 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: yes | Statement: [Tulip Festival in Morges, drawsFamilies, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: drawsFamilies
Context triple: [Tulip Festival in Morges, drawsFamilies, yes]
  • A. representsFamily
    Indicates that one entity is related to another through a familial relationship (by blood, marriage, or adoption).
  • B. familyOf
    Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
  • C. ownsByFamily
    Indicates that ownership of an entity is held collectively or primarily by a family rather than by an individual or non-family organization.
  • D. familyDepiction
    Indicates that one entity visually represents or portrays members of a family or familial relationships.
  • E. fareFamily
    Indicates a relationship that classifies a fare or ticket into a specific fare family or category within a pricing structure.
  • 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_69f348d11a048190a65eb8384a3754ac completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a956e9b08190bf83547bba8e8147 completed May 3, 2026, 1:48 a.m.
PD Predicate disambiguation batch_69f6a75656e081908739ed9e2f600e42 completed May 3, 2026, 1:39 a.m.
PDg Predicate description generation batch_69f6a8036ab481908019f2f071fa406e completed May 3, 2026, 1:42 a.m.
Created at: April 30, 2026, 10:10 p.m.