Triple
T13081718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakano |
E310221
|
entity |
| Predicate | hasFlower |
P579
|
FINISHED |
| Object | Azalea |
E703917
|
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: Azalea | Statement: [Nakano, hasFlower, Azalea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azalea Context triple: [Nakano, hasFlower, Azalea]
-
A.
Azalea
chosen
Azalea is a popular ornamental flowering shrub in the Rhododendron genus, known for its vibrant spring blooms and use in gardens and landscaping.
-
B.
Gaura
Gaura is another name for Chaitanya Mahaprabhu, the 16th-century Bengali saint and key figure in Gaudiya Vaishnavism who propagated congregational chanting of Krishna’s names.
-
C.
Magnolia
Magnolia is a genus of flowering trees and shrubs known for their large, fragrant blossoms and broad, glossy leaves, widely associated with the American South.
-
D.
Magnolia
"Magnolia" is a music album by Portuguese singer and actress Lúcia Moniz, showcasing her blend of pop and folk-influenced songs.
-
E.
Magnolia
Magnolia is a largely residential, peninsula-like neighborhood in northwest Seattle known for its parks, views of Puget Sound, and village-style commercial center.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9811add9881908a92186dab5b6d48 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60c603881909dff49f4356042b5 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9:01 p.m.