Triple
T13396979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castanopsis |
E319722
|
entity |
| Predicate | hasLeafPersistence |
P104474
|
FINISHED |
| Object | evergreen |
—
|
LITERAL 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: evergreen | Statement: [Castanopsis, hasLeafPersistence, evergreen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeafPersistence Context triple: [Castanopsis, hasLeafPersistence, evergreen]
-
A.
hasLeaves
Indicates that an entity possesses leaves as part of its structure or form.
-
B.
hasApproximateLeaves
Indicates that one entity possesses a number of leaves that is approximately equal to the number of leaves of another entity.
-
C.
hasLeafTip
Indicates that one entity possesses or exhibits a particular type or form of leaf tip.
-
D.
supportsPersistence
Indicates that one entity enables or provides the capability for another entity’s data or state to be stored and retained over time.
-
E.
persistenceType
chosen
Indicates the manner or mode in which something continues to exist, endure, or remain over time.
- F. None of above.
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. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:34 p.m.