Triple

T12131248
Position Surface form Disambiguated ID Type / Status
Subject Rubiaceae E288940 entity
Predicate containsTaxon P9413 FINISHED
Object Rubia
Rubia is a genus of flowering plants in the coffee family known for species like madder, historically used as a source of red dye.
 E968009 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: Rubia | Statement: [Rubiaceae, containsTaxon, Rubia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rubia
Context triple: [Rubiaceae, containsTaxon, Rubia]
  • A. Rumbia
    Rumbia is a town in Indonesia’s Southeast Sulawesi province that serves as a local administrative and population center.
  • B. Kassia
    Kassia was a 9th-century Byzantine abbess, poet, and hymnographer renowned as one of the earliest and most important female composers in the Eastern Orthodox tradition.
  • C. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • D. Amendola
    Amendola is an Italian surname borne by various notable individuals, including athletes, artists, and public figures.
  • E. Cassia
    Cassia is a feminine given name used in various cultures, often associated with warmth and spice due to its connection to the cassia tree and cinnamon.
  • 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: Rubia
Triple: [Rubiaceae, containsTaxon, Rubia]
Generated description
Rubia is a genus of flowering plants in the coffee family known for species like madder, historically used as a source of red dye.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rubia
Target entity description: Rubia is a genus of flowering plants in the coffee family known for species like madder, historically used as a source of red dye.
  • A. Rumbia
    Rumbia is a town in Indonesia’s Southeast Sulawesi province that serves as a local administrative and population center.
  • B. Kassia
    Kassia was a 9th-century Byzantine abbess, poet, and hymnographer renowned as one of the earliest and most important female composers in the Eastern Orthodox tradition.
  • C. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • D. Amendola
    Amendola is an Italian surname borne by various notable individuals, including athletes, artists, and public figures.
  • E. Cassia
    Cassia is a feminine given name used in various cultures, often associated with warmth and spice due to its connection to the cassia tree and cinnamon.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158b34648190b5eecdf9b07fbb3f completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68ac15c81908388dd3194e9dfc4 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6048d6f24819093862fb46f9938f1 completed May 2, 2026, 2:05 p.m.
NED2 Entity disambiguation (via description) batch_69f6056e3fdc81908e6e97c4c37a18bb completed May 2, 2026, 2:08 p.m.
Created at: April 8, 2026, 9:49 p.m.