Triple
T13396849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quercus |
E319720
|
entity |
| Predicate | hasSpecies |
P965
|
FINISHED |
| Object | Quercus serrata |
E319720
|
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: Quercus serrata | Statement: [Quercus, hasSpecies, Quercus serrata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quercus serrata Context triple: [Quercus, hasSpecies, Quercus serrata]
-
A.
Quercus acutissima
Quercus acutissima is a species of oak tree native to East Asia, known for its sharply serrated leaves and use in timber and charcoal production.
-
B.
Zelkova
Zelkova is a small genus of deciduous trees in the elm family, valued as ornamentals and for bonsai, and native to parts of Europe and Asia.
-
C.
Quercus wislizeni
Quercus wislizeni is an evergreen oak tree species native to California, commonly found in the Sierra Nevada foothills and surrounding regions.
-
D.
Quercus
Quercus is a British publishing company known for its fiction and non-fiction titles, including award-winning and bestselling works.
-
E.
Quercus
chosen
Quercus is a large genus of trees and shrubs commonly known as oaks, widespread in the Northern Hemisphere and ecologically important for their hardwood and acorn production.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d9e7348190844e11dd6cbd13b0 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73983b8f08190bf4d1a64c0beab97 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:34 p.m.