Triple
T27494530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phyllostylon rhamnoides |
E693986
|
entity |
| Predicate | woodColorContrast |
P162450
|
FINISHED |
| Object | light-colored heartwood |
—
|
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: light-colored heartwood | Statement: [Phyllostylon rhamnoides, woodColorContrast, light-colored heartwood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: woodColorContrast Context triple: [Phyllostylon rhamnoides, woodColorContrast, light-colored heartwood]
-
A.
colorCompatibility
Indicates whether the colors associated with the entities can be used together harmoniously or without conflict.
-
B.
dressColor
Indicates the color attribute associated with a particular dress.
-
C.
stoneColor
Indicates that one entity has a particular color attribute associated with a stone.
-
D.
buildingColor
Indicates the color or predominant exterior hue associated with a building.
-
E.
homeKitTraditionalColor
Indicates that an entity’s color is represented using the traditional HomeKit color model or palette.
- 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62e8cb0c48190bbd8647a1fb6635b |
completed | May 2, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f624c006788190a2f4d5015c96463f |
completed | May 2, 2026, 4:22 p.m. |
Created at: April 27, 2026, 1:07 p.m.