Triple
T26514305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordmann fir |
E669769
|
entity |
| Predicate | leafUndersideFeature |
P12395
|
FINISHED |
| Object | two white stomatal bands |
—
|
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: two white stomatal bands | Statement: [Nordmann fir, leafUndersideFeature, two white stomatal bands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leafUndersideFeature Context triple: [Nordmann fir, leafUndersideFeature, two white stomatal bands]
-
A.
leafColorUnderside
chosen
Indicates the color present on the underside (lower surface) of a leaf.
-
B.
leafColorUpperSurface
Indicates the color exhibited on the upper surface of a leaf.
-
C.
characteristicLeafIndumentum
Indicates the type or nature of surface covering (e.g., hairs, scales) that is characteristically present on a leaf.
-
D.
characteristicLeafTexture
Indicates the typical surface feel or texture that characterizes a leaf (e.g., smooth, rough, hairy) as a defining trait.
-
E.
typicalLeafCharacteristic
Indicates the usual or defining features of a leaf that characterize it under normal 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61394b50c81909e628b2e5b1aa3d5 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:22 a.m.