Triple
T5690979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malvales |
E125426
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Malvaceae |
E97399
|
NE FINISHED |
How this triple was built (2 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: Malvaceae | Statement: [Malvales, contains, Malvaceae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malvaceae Context triple: [Malvales, contains, Malvaceae]
-
A.
Malvaceae
chosen
Malvaceae is a large family of flowering plants that includes mallows, hibiscus, cotton, and okra, many of which are important ornamentals and crops.
-
B.
Meliaceae
Meliaceae is a family of mostly tropical flowering trees and shrubs that includes economically important timber and ornamental species such as mahogany and neem.
-
C.
Apocynaceae
Apocynaceae is a large family of flowering plants, commonly known as the dogbane family, that includes many tropical trees, shrubs, and vines often noted for their milky sap and toxic or medicinal properties.
-
D.
Tetramelaceae
Tetramelaceae is a small family of flowering plants in the order Cucurbitales, comprising a few tree species native to tropical regions.
-
E.
Moraceae
Moraceae is a family of flowering plants in the order Rosales that includes figs, mulberries, and breadfruit, many of which are known for their milky latex and economic importance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e500ec8190bfda4f6a818aa5dc |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a4baea481908b4766888fd3edf1 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:44 p.m.