Triple
T15387957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embothrium coccineum |
E367963
|
entity |
| Predicate | deciduousInClimate |
P193
|
FINISHED |
| Object | colder climates |
—
|
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: colder climates | Statement: [Embothrium coccineum, deciduousInClimate, colder climates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deciduousInClimate Context triple: [Embothrium coccineum, deciduousInClimate, colder climates]
-
A.
isDeciduous
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.
climatologicalType
Indicates the classification of a climate or weather pattern that characterizes a place, period, or condition.
-
D.
shareClimateZones
Indicates that two entities are located in regions classified under the same climate zone or zones.
-
E.
hasClimate
chosen
Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e761b688190893a81246b735b76 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.