Triple
T18052361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavatera |
E431951
|
entity |
| Predicate | isRelatedTo |
P37
|
FINISHED |
| Object | Malva |
—
|
NE NERFINISHED |
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: Malva | Statement: [Lavatera, isRelatedTo, Malva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malva Context triple: [Lavatera, isRelatedTo, Malva]
-
A.
Malva
chosen
Malva is a genus of flowering plants commonly known as mallows, characterized by their showy, five-petaled flowers and widespread distribution in temperate regions.
-
B.
Mallow
Mallow is a town in north County Cork, Ireland, known historically as a market and spa town on the River Blackwater.
-
C.
La Malva-rosa
La Malva-rosa is a coastal neighborhood of Valencia, Spain, known for its Mediterranean beach and seaside promenade.
-
D.
Claver
Claver is a coastal mining municipality in the province of Surigao del Norte in the Philippines, known for its rich nickel and mineral resources.
-
E.
Malvazia
Malvazia is a traditional Mediterranean wine grape variety, best known for producing rich, aromatic Malvasia-style wines ranging from dry to lusciously sweet.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c0ff580c8190bc3ca04025476255 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:25 a.m.