Triple
T11116546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Think of One |
E262898
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Fuchsia |
E554855
|
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: Fuchsia | Statement: [Think of One, hasPart, Fuchsia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuchsia Context triple: [Think of One, hasPart, Fuchsia]
-
A.
Fuchsia
Fuchsia is a genus of flowering plants known for its brightly colored, pendulous blossoms commonly grown as ornamental garden and container plants.
-
B.
Fuchsia
chosen
Fuchsia is an experimental open-source operating system developed by Google, designed to run across a wide range of devices using a new microkernel architecture.
-
C.
Rosamorada
Rosamorada is a municipality and town in the Mexican state of Nayarit, known for its agricultural activities and rural communities.
-
D.
Scarlet carnation
The scarlet carnation is a bright red variety of carnation flower often associated with love, admiration, and ceremonial or commemorative uses.
-
E.
Rosier
Rosier is a surname of French origin borne by various notable individuals across different fields.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa81d8c81908a387b56cbcc9128 |
completed | April 9, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d7da99881908d38ea66c37dfb92 |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:27 p.m.