Triple

T102848
Position Surface form Disambiguated ID Type / Status
Subject Rosales E2077 entity
Predicate includes P1393 FINISHED
Object Rosa
Rosa is a genus of flowering plants known for its ornamental roses, prized worldwide for their beauty, fragrance, and cultural symbolism.
 E14716 NE FINISHED

How this triple was built (4 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: Rosa | Statement: [Rosales, includes, Rosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rosa
Context triple: [Rosales, includes, Rosa]
  • A. Rita
    Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
  • B. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • E. Black-eyed Susan
    Black-eyed Susan is a bright yellow, daisy-like wildflower with a dark central cone, commonly found across North America and widely used in gardens and natural landscapes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Rosa
Triple: [Rosales, includes, Rosa]
Generated description
Rosa is a genus of flowering plants known for its ornamental roses, prized worldwide for their beauty, fragrance, and cultural symbolism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rosa
Target entity description: Rosa is a genus of flowering plants known for its ornamental roses, prized worldwide for their beauty, fragrance, and cultural symbolism.
  • A. Rita
    Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
  • B. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Estelle
    Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
  • E. Black-eyed Susan
    Black-eyed Susan is a bright yellow, daisy-like wildflower with a dark central cone, commonly found across North America and widely used in gardens and natural landscapes.
  • F. None of above. chosen

Provenance (5 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a256a9bd5881909f7d87fe65e79b4c completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2a3d29e348190820f8a1ed207be2e completed Feb. 28, 2026, 8:14 a.m.
NEDg Description generation batch_69a2a456dc6881909f55e96a91d6d7eb completed Feb. 28, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_69a2a5b6aca481909c920d2b2f708c56 completed Feb. 28, 2026, 8:22 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.