Triple
T15932781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulipa |
E386363
|
entity |
| Predicate | typeSpecies |
P7381
|
FINISHED |
| Object | Tulipa gesneriana |
E386363
|
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: Tulipa gesneriana | Statement: [Tulipa, typeSpecies, Tulipa gesneriana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulipa gesneriana Context triple: [Tulipa, typeSpecies, Tulipa gesneriana]
-
A.
Tulipa
chosen
Tulipa is a genus of bulbous flowering plants best known for its colorful tulip blooms, widely cultivated as ornamental garden and cut flowers.
-
B.
Gladiolus
Gladiolus is a genus of flowering plants known for their tall spikes of showy, colorful blooms, widely cultivated as ornamental garden and cut flowers.
-
C.
Freesia
Freesia is a genus of fragrant, colorful flowering plants popular in ornamental horticulture and cut-flower arrangements.
-
D.
Tulips
"Tulips" is a confessional poem by Sylvia Plath that explores themes of identity, illness, and the tension between life and death through the speaker’s intense reaction to a bouquet of bright red tulips in a hospital room.
-
E.
Amaryllis
"Amaryllis" is a notable poem by American poet Edwin Arlington Robinson, recognized for its reflective, character-driven exploration of human emotion and experience.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a6d9b88190b461d12d69b12ac0 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b514108190965e77346d8b476e |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.