Triple
T22005682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elgol |
E543445
|
entity |
| Predicate | hasNearbyFeature |
P350
|
FINISHED |
| Object | Canna |
—
|
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: Canna | Statement: [Elgol, hasNearbyFeature, Canna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canna Context triple: [Elgol, hasNearbyFeature, Canna]
-
A.
Canna
chosen
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.
-
B.
Red Canna
Red Canna is a famous flower painting by American artist Georgia O’Keeffe, celebrated for its close-up, abstracted depiction of a canna lily in vibrant, sensual colors.
-
C.
Datisca cannabina
Datisca cannabina is a tall, herbaceous perennial plant known for its cannabis-like leaves and ornamental, feathery flower clusters, native to parts of Europe and Asia.
-
D.
Hemp
Hemp is a versatile variety of the Cannabis sativa plant cultivated worldwide for its strong fiber, nutritious seeds, and numerous industrial and commercial uses.
-
E.
Ganja
Ganja is one of Azerbaijan’s largest and oldest cities, known as a historic cultural and economic center in the South Caucasus.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a0afa881908318a4ebe211ca28 |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:21 p.m.