Triple
T19808942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nothofagus pumilio |
E475888
|
entity |
| Predicate | deciduousIn |
P24488
|
FINISHED |
| Object | 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: winter | Statement: [Nothofagus pumilio, deciduousIn, winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deciduousIn Context triple: [Nothofagus pumilio, deciduousIn, winter]
-
A.
isDeciduous
chosen
Indicates that an entity (typically a plant or tree) seasonally sheds its leaves, distinguishing it from evergreen entities.
-
B.
containsDeciduousTaxa
Indicates that the subject group or area includes one or more taxa that are deciduous (shedding leaves seasonally).
-
C.
treeHabit
Indicates the growth form or structural habit characteristic of a tree, such as its typical shape, branching pattern, or overall stature.
-
D.
isWoodyPlant
Indicates that the subject is a plant characterized by persistent, woody stems or trunks that remain above ground year-round.
-
E.
isConifer
Indicates that the subject is a coniferous plant, typically bearing cones and having needle-like or scale-like evergreen leaves.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65429fec8819091e20908101b50eb |
completed | April 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.