Triple
T17167075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicotiana |
E416634
|
entity |
| Predicate | hasSpecies |
P965
|
FINISHED |
| Object | Nicotiana tabacum |
E288946
|
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: Nicotiana tabacum | Statement: [Nicotiana, hasSpecies, Nicotiana tabacum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicotiana tabacum Context triple: [Nicotiana, hasSpecies, Nicotiana tabacum]
-
A.
Nicotiana tabacum
chosen
Nicotiana tabacum is the cultivated tobacco plant, widely grown for its leaves used in the production of cigarettes and other tobacco products.
-
B.
Nicotiana
Nicotiana is a genus of flowering plants best known for including tobacco species cultivated worldwide for their leaves and nicotine content.
-
C.
Gossypium
Gossypium is a genus of flowering plants best known for producing cotton, one of the world’s most important natural textile fibers.
-
D.
Tabac
Tabac is a famous high-speed left-hand corner on the Monaco Grand Prix street circuit, located near the harbor and known for its close barriers and precision driving demands.
-
E.
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.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f916833c81909c64e0d74b40a85b |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483d754c819089607cfc87d08d42 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.