Triple
T15932785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulipa |
E386363
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Tulipa tarda |
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 tarda | Statement: [Tulipa, hasPart, Tulipa tarda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulipa tarda Context triple: [Tulipa, hasPart, Tulipa tarda]
-
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.
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.
-
C.
Daffodil
"Daffodil" is a song by Florence + The Machine from their 2022 album *Dance Fever*, blending baroque pop and indie rock elements with vivid, poetic lyricism.
-
D.
Farnese lilies
Farnese lilies are a heraldic emblem associated with the powerful Italian Farnese family, often depicted as stylized lilies symbolizing nobility and prestige.
-
E.
Freesia
Freesia is a genus of fragrant, colorful flowering plants popular in ornamental horticulture and cut-flower arrangements.
- 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_69ffc3bd67f48190aee4f892206d9326 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.