Triple
T35946004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geranium |
E1039585
|
entity |
| Predicate | differenceFromPelargonium |
P184259
|
FINISHED |
| Object | mostly hardy in temperate 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: mostly hardy in temperate climates | Statement: [Geranium, differenceFromPelargonium, mostly hardy in temperate climates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromPelargonium Context triple: [Geranium, differenceFromPelargonium, mostly hardy in temperate climates]
-
A.
differenceFromCaduceus
Indicates the way in which something differs from or deviates from the caduceus.
-
B.
designDifferenceFrom
Indicates a relationship where one design is distinguished from another by specific differing features, characteristics, or structure.
-
C.
differIn
Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
-
D.
differenceFromB-Spec
Indicates that one entity differs from another entity specifically in terms of its B-Spec (B specification) characteristics or parameters.
-
E.
isDifferenceOf
Indicates that one quantity or entity represents the result obtained by subtracting one specified quantity or entity from another.
- F. None of above. chosen
Provenance (4 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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7ac2210e481909279dade5328825c |
completed | May 3, 2026, 8:12 p.m. |
Created at: May 3, 2026, 4:07 p.m.