Triple
T2597867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyctaginaceae |
E58273
|
entity |
| Predicate | includesGenus |
P1393
|
FINISHED |
| Object |
Guapira
Guapira is a genus of flowering plants in the four o'clock family, comprising mostly tropical American trees and shrubs.
|
E281950
|
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: Guapira | Statement: [Nyctaginaceae, includesGenus, Guapira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guapira Context triple: [Nyctaginaceae, includesGenus, Guapira]
-
A.
Guapimirim
Guapimirim is a municipality in the state of Rio de Janeiro, Brazil, known for its mountainous landscapes and protected natural areas near Guanabara Bay.
-
B.
Shabo
Shabo is a nearly extinct and poorly documented language isolate spoken by a small community in southwestern Ethiopia.
-
C.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
-
D.
Gruchy
Gruchy is a small hamlet in the Normandy region of France, best known as the birthplace of the painter Jean-François Millet.
-
E.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
- 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: Guapira Triple: [Nyctaginaceae, includesGenus, Guapira]
Generated description
Guapira is a genus of flowering plants in the four o'clock family, comprising mostly tropical American trees and shrubs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guapira Target entity description: Guapira is a genus of flowering plants in the four o'clock family, comprising mostly tropical American trees and shrubs.
-
A.
Guapimirim
Guapimirim is a municipality in the state of Rio de Janeiro, Brazil, known for its mountainous landscapes and protected natural areas near Guanabara Bay.
-
B.
Shabo
Shabo is a nearly extinct and poorly documented language isolate spoken by a small community in southwestern Ethiopia.
-
C.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
-
D.
Gruchy
Gruchy is a small hamlet in the Normandy region of France, best known as the birthplace of the painter Jean-François Millet.
-
E.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd4548b1081909d28f88ea5e14202 |
completed | March 7, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83cc45f8819099d581725a53e527 |
completed | March 10, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69af84a08ffc8190b113d07f3d322d0c |
completed | March 10, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af85a052448190898ee1a2f8368122 |
completed | March 10, 2026, 2:44 a.m. |
Created at: March 6, 2026, 9:49 p.m.