Triple
T2455195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hibiscus rosa-sinensis |
E54403
|
entity |
| Predicate | family |
P566
|
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: [Hibiscus rosa-sinensis, family, Malvaceae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malvaceae Context triple: [Hibiscus rosa-sinensis, family, 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.
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.
-
D.
Vitaceae
Vitaceae is a family of flowering plants best known for grapevines, many of which produce edible grapes and are cultivated worldwide for fruit and wine.
-
E.
Ulmaceae
Ulmaceae is a family of flowering trees and shrubs best known for including the elms, which are widespread in temperate regions.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd105054c819081286729749a347c |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0c7c90c8190ba5ed3cece5e049f |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:44 p.m.