Triple
T13323007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London plane tree |
E317360
|
entity |
| Predicate | fruitPersistence |
P11419
|
FINISHED |
| Object | fruit clusters often persist into winter |
—
|
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: fruit clusters often persist into winter | Statement: [London plane tree, fruitPersistence, fruit clusters often persist into winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fruitPersistence Context triple: [London plane tree, fruitPersistence, fruit clusters often persist into winter]
-
A.
persistence
chosen
Indicates a continued or repeated existence, occurrence, or effort of something over time despite potential changes or obstacles.
-
B.
supportsPersistence
Indicates that one entity enables or provides the capability for another entity’s data or state to be stored and retained over time.
-
C.
store
Indicates that one entity keeps or holds another entity in a place or system for future use or access.
-
D.
save
Indicates preserving or storing something from loss, harm, or use, often for future benefit or protection.
-
E.
storageOrgan
Indicates that one entity serves as a storage organ (a specialized structure for storing substances like nutrients or water) for another entity.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:30 p.m.