Triple
T4353571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camellia |
E98089
|
entity |
| Predicate | prefersLight |
P9911
|
FINISHED |
| Object | partial shade |
—
|
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: partial shade | Statement: [Camellia, prefersLight, partial shade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prefersLight Context triple: [Camellia, prefersLight, partial shade]
-
A.
treatsLightAs
chosen
Indicates that an entity regards or handles light in a particular way or manner.
-
B.
themeContrast
Indicates a relationship where two themes are compared or opposed to highlight their differences or tension.
-
C.
isLightweight
Indicates that an entity has a relatively low weight or mass compared to typical or alternative entities.
-
D.
hasDarkerTone
Indicates that one entity possesses a color or shade that is visually darker than that of another entity.
-
E.
lightingCharacteristic
Indicates the specific qualities or properties of how something is lit, such as brightness, color, direction, or style of illumination.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c281688190aef717c4ecce8107 |
completed | March 12, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69b34f51ed7c8190b7bf5f44b56b730d |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:15 p.m.