Triple
T8765352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M81 Woodland pattern |
E208325
|
entity |
| Predicate | colorCount |
P43593
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [M81 Woodland pattern, colorCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorCount Context triple: [M81 Woodland pattern, colorCount, 4]
-
A.
colorVarietyCount
chosen
Indicates the number of distinct colors associated with or present in a given entity or set of entities.
-
B.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
C.
maxColorsOnScreen
Indicates the maximum number of distinct colors that can be displayed on the screen at the same time.
-
D.
pixelCount
Indicates the total number of individual pixels that make up a given image or visual element.
-
E.
inputColorChannels
Indicates the specific color channels that are provided as input to a process, function, or model.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee850b88190a0294bcbe4045aa3 |
completed | March 31, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:40 p.m.