Triple
T23293441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hypoxylon |
E590095
|
entity |
| Predicate | macroscopicColor |
P38941
|
FINISHED |
| Object | dark brown to black stromata |
—
|
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: dark brown to black stromata | Statement: [Hypoxylon, macroscopicColor, dark brown to black stromata]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: macroscopicColor Context triple: [Hypoxylon, macroscopicColor, dark brown to black stromata]
-
A.
colorInfluence
Indicates how the presence or use of one color affects the perception, appearance, or impact of another.
-
B.
shadeColor
Indicates that one entity has a specific shade or variation of color associated with it.
-
C.
isColorful
Indicates that an entity possesses multiple or striking colors, giving it a vivid or visually varied appearance.
-
D.
typicalColorDescription
chosen
Indicates the usual or characteristic color associated with an entity.
-
E.
cereColor
Indicates that one entity specifies or denotes the color of another entity’s cere (the fleshy area above a bird’s beak).
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196ccd9b481909ab5d3504640025e |
completed | April 29, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:02 p.m.