Triple
T674366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannabaceae |
E13047
|
entity |
| Predicate | containsGenus |
P9413
|
FINISHED |
| Object |
Gironniera
Gironniera is a genus of flowering trees and shrubs in the hemp family Cannabaceae, native to tropical regions of Asia and Africa.
|
E83265
|
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: Gironniera | Statement: [Cannabaceae, containsGenus, Gironniera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gironniera Context triple: [Cannabaceae, containsGenus, Gironniera]
-
A.
Barbel
Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
-
B.
Agria
Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
-
C.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
D.
Gachetá
Gachetá is a municipality and town located in the Cundinamarca Department of central Colombia, known for its agricultural activities and Andean highland landscapes.
-
E.
Montegrande
Montegrande is a small rural village in Chile’s Elqui Valley, known for its scenic Andean landscapes and traditional agricultural surroundings.
- 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: Gironniera Triple: [Cannabaceae, containsGenus, Gironniera]
Generated description
Gironniera is a genus of flowering trees and shrubs in the hemp family Cannabaceae, native to tropical regions of Asia and Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gironniera Target entity description: Gironniera is a genus of flowering trees and shrubs in the hemp family Cannabaceae, native to tropical regions of Asia and Africa.
-
A.
Barbel
Barbel is a feminine given name, commonly used as a diminutive or variant of names like Barbara in German-speaking regions.
-
B.
Agria
Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
-
C.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
D.
Gachetá
Gachetá is a municipality and town located in the Cundinamarca Department of central Colombia, known for its agricultural activities and Andean highland landscapes.
-
E.
Montegrande
Montegrande is a small rural village in Chile’s Elqui Valley, known for its scenic Andean landscapes and traditional agricultural surroundings.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a02537d08190942ee5fc8c50610a |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3a1b6588190b0c9215afb3a9200 |
completed | March 2, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_69a5c7ff50088190827743f3f42622ce |
completed | March 2, 2026, 5:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5cd1dd7848190a987276500040a4f |
completed | March 2, 2026, 5:47 p.m. |
Created at: March 1, 2026, 7:36 p.m.