Triple
T8632028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sciurini |
E204424
|
entity |
| Predicate | includesTaxon |
P1393
|
FINISHED |
| Object | Heliosciurus |
E740429
|
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: Heliosciurus | Statement: [Sciurini, includesTaxon, Heliosciurus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heliosciurus Context triple: [Sciurini, includesTaxon, Heliosciurus]
-
A.
Heliosciurus
chosen
Heliosciurus is a genus of African sun squirrels known for their diurnal, arboreal habits and often brightly colored fur.
-
B.
Syntheosciurus
Syntheosciurus is a small genus of tree squirrels in the tribe Sciurini, known from Central American montane forests.
-
C.
Sundasciurus
Sundasciurus is a genus of Southeast Asian tree squirrels known for their arboreal habits and diversity across forested habitats in the Sunda region.
-
D.
Callosciurus
Callosciurus is a genus of colorful tree squirrels native mainly to Southeast Asia, commonly known as “beautiful squirrels” for their striking fur patterns.
-
E.
Microsciurus
Microsciurus is a genus of small Neotropical dwarf squirrels found in Central and South American forests.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4742a89081909f9f7b3621e50b40 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc91d31d48190bfd8a8254f6f518e |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:27 p.m.