Triple
T442879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humulus |
E10151
|
entity |
| Predicate | containsTaxon |
P9413
|
FINISHED |
| Object | Humulus japonicus |
E10151
|
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: Humulus japonicus | Statement: [Humulus, containsTaxon, Humulus japonicus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Humulus japonicus Context triple: [Humulus, containsTaxon, Humulus japonicus]
-
A.
Humulus
chosen
Humulus is a small genus of flowering plants in the hemp family best known for the hop plant used in brewing beer.
-
B.
Canna
Canna is a small, historically rich island in Scotland’s Inner Hebrides, known for its wildlife, archaeological sites, and ownership by the National Trust for Scotland.
-
C.
Urtica
Urtica is a genus of herbaceous plants best known for its stinging nettles, which have tiny hairs that can irritate the skin.
-
D.
Zelkova
Zelkova is a small genus of deciduous trees in the elm family, valued as ornamentals and for bonsai, and native to parts of Europe and Asia.
-
E.
Taro
Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef43e8f88190a5d368add11a38c0 |
completed | Feb. 28, 2026, 1:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a43e73555481909fc972eed3337945 |
completed | March 1, 2026, 1:26 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.