Triple
T23243409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedrela |
E581520
|
entity |
| Predicate | commonName |
P570
|
FINISHED |
| Object |
cedrela
Cedrela is a genus of tropical and subtropical trees in the mahogany family (Meliaceae), known for their valuable, aromatic timber often used in furniture and cabinetry.
|
E1576284
|
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: cedrela | Statement: [Cedrela, commonName, cedrela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: cedrela Context triple: [Cedrela, commonName, cedrela]
-
A.
Cezmi
Cezmi is a historical novel by Ottoman writer Namık Kemal, often regarded as one of the early examples of Turkish nationalist literature.
-
B.
CELARG
CELARG is a Venezuelan cultural and research institution dedicated to promoting Latin American literature, thought, and the legacy of writer Rómulo Gallegos.
-
C.
Cel
Cel is an Etruscan goddess associated with the earth and the underworld in ancient Italic religion.
-
D.
CREL
CREL is the stock ticker symbol for Corel Corporation, a software company best known for products like CorelDRAW and WordPerfect.
-
E.
Kreli
Kreli was a Xhosa military leader who played a significant role in resisting British colonial forces during the Ninth Frontier War in South Africa.
- 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: cedrela Triple: [Cedrela, commonName, cedrela]
Generated description
Cedrela is a genus of tropical and subtropical trees in the mahogany family (Meliaceae), known for their valuable, aromatic timber often used in furniture and cabinetry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: cedrela Target entity description: Cedrela is a genus of tropical and subtropical trees in the mahogany family (Meliaceae), known for their valuable, aromatic timber often used in furniture and cabinetry.
-
A.
Cezmi
Cezmi is a historical novel by Ottoman writer Namık Kemal, often regarded as one of the early examples of Turkish nationalist literature.
-
B.
CELARG
CELARG is a Venezuelan cultural and research institution dedicated to promoting Latin American literature, thought, and the legacy of writer Rómulo Gallegos.
-
C.
Cel
Cel is an Etruscan goddess associated with the earth and the underworld in ancient Italic religion.
-
D.
CREL
CREL is the stock ticker symbol for Corel Corporation, a software company best known for products like CorelDRAW and WordPerfect.
-
E.
Kreli
Kreli was a Xhosa military leader who played a significant role in resisting British colonial forces during the Ninth Frontier War in South Africa.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192efd44c8190b179b4d1cb71efa5 |
completed | April 29, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f624cfc81908be70a8887890449 |
completed | May 19, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_6a0c405be1188190b6622665e448bbe7 |
completed | May 19, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c40bece448190bb9fd1a3058a1f06 |
completed | May 19, 2026, 10:51 a.m. |
Created at: April 17, 2026, 4:10 p.m.