Triple

T1891608
Position Surface form Disambiguated ID Type / Status
Subject Faboideae E41885 entity
Predicate includesGenus P1393 FINISHED
Object Galega
Galega is a small genus of flowering legumes in the pea family, best known for the species Galega officinalis, historically used as a medicinal plant and as a forage crop.
 E209712 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: Galega | Statement: [Faboideae, includesGenus, Galega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Galega
Context triple: [Faboideae, includesGenus, Galega]
  • A. Frangula
    Frangula is a genus of flowering shrubs and small trees, commonly known as buckthorns, found in temperate regions and valued for their ecological and medicinal properties.
  • B. Althaea
    Althaea is a figure in Greek mythology, best known as the mother of Meleager and queen of Calydon.
  • C. Aegle
    Aegle is a figure from Greek mythology, often identified as one of the Hesperides, the nymphs associated with a blissful garden at the western edge of the world.
  • D. Ennepetal
    Ennepetal is a town in North Rhine-Westphalia, Germany, known for its industrial heritage and scenic location in the Ennepe-Ruhr district.
  • E. Rhoose
    Rhoose is a coastal village in the Vale of Glamorgan in South Wales, known for its proximity to Cardiff Airport and views over the Bristol Channel.
  • 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: Galega
Triple: [Faboideae, includesGenus, Galega]
Generated description
Galega is a small genus of flowering legumes in the pea family, best known for the species Galega officinalis, historically used as a medicinal plant and as a forage crop.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Galega
Target entity description: Galega is a small genus of flowering legumes in the pea family, best known for the species Galega officinalis, historically used as a medicinal plant and as a forage crop.
  • A. Frangula
    Frangula is a genus of flowering shrubs and small trees, commonly known as buckthorns, found in temperate regions and valued for their ecological and medicinal properties.
  • B. Althaea
    Althaea is a figure in Greek mythology, best known as the mother of Meleager and queen of Calydon.
  • C. Aegle
    Aegle is a figure from Greek mythology, often identified as one of the Hesperides, the nymphs associated with a blissful garden at the western edge of the world.
  • D. Ennepetal
    Ennepetal is a town in North Rhine-Westphalia, Germany, known for its industrial heritage and scenic location in the Ennepe-Ruhr district.
  • E. Rhoose
    Rhoose is a coastal village in the Vale of Glamorgan in South Wales, known for its proximity to Cardiff Airport and views over the Bristol Channel.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb145f96c8190a71bb9e442892e68 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf68a8d48190a3360557def67692 completed March 8, 2026, 8:43 p.m.
NEDg Description generation batch_69addff3e9a081908cba77103cd60171 completed March 8, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69ade07143808190b5dfe380428eb496 completed March 8, 2026, 8:47 p.m.
Created at: March 4, 2026, 7:34 p.m.