Triple
T13395684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myricaceae |
E319695
|
entity |
| Predicate | includesGenus |
P1393
|
FINISHED |
| Object | Myrica |
E1039602
|
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: Myrica | Statement: [Myricaceae, includesGenus, Myrica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myrica Context triple: [Myricaceae, includesGenus, Myrica]
-
A.
Myrica
chosen
Myrica is a genus of aromatic shrubs and small trees commonly known as bayberries or wax myrtles, found in temperate and subtropical regions worldwide.
-
B.
Myrica faya
Myrica faya is an evergreen shrub or small tree native to Macaronesia, known for its dense foliage, small edible berries, and role in laurel forest ecosystems.
-
C.
Ilex
Ilex is a large genus of evergreen and deciduous shrubs and trees commonly known as hollies, valued for their glossy leaves and bright red berries.
-
D.
Reynoutria
Reynoutria is a genus of flowering plants in the knotweed family Polygonaceae, best known for invasive species such as Japanese knotweed.
-
E.
Arbutus
Arbutus is an unincorporated community in Baltimore County, Maryland, known as a residential suburb of Baltimore near the University of Maryland, Baltimore County.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d892d08190b1b192b93fe3d72d |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73983b8f08190bf4d1a64c0beab97 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:34 p.m.