Triple
T9216083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tagetes |
E221243
|
entity |
| Predicate | hasSpecies |
P965
|
FINISHED |
| Object | Tagetes erecta |
E221243
|
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: Tagetes erecta | Statement: [Tagetes, hasSpecies, Tagetes erecta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tagetes erecta Context triple: [Tagetes, hasSpecies, Tagetes erecta]
-
A.
Tagetes
chosen
Tagetes is a genus of flowering plants commonly known as marigolds, valued for their bright ornamental blooms and use in traditional medicine and pest control.
-
B.
Regulus calendula
Regulus calendula, commonly known as the ruby-crowned kinglet, is a tiny North American songbird noted for its olive-green plumage and the male’s distinctive red crown patch.
-
C.
Helianthus
Helianthus is a genus of flowering plants best known for the common sunflower and its large, bright yellow flower heads that track the sun.
-
D.
Zinnias
Zinnias is a modernist watercolor painting by American artist Charles Demuth, known for its vibrant depiction of flowers and refined use of color and form.
-
E.
Mirabilis
Mirabilis is an Israeli software company best known for creating the pioneering instant messaging service ICQ in the 1990s.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda096358819096d4e790da057512 |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0661c4c2c8190bc5be991a3a75f2b |
completed | April 4, 2026, 1:15 a.m. |
Created at: March 30, 2026, 7:27 p.m.