Triple
T36491736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omniglot |
E899066
|
entity |
| Predicate | imageModality |
P52562
|
FINISHED |
| Object | grayscale images |
—
|
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: grayscale images | Statement: [Omniglot, imageModality, grayscale images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageModality Context triple: [Omniglot, imageModality, grayscale images]
-
A.
includesModality
Indicates that one element incorporates or specifies a particular modality (such as mode, manner, or form) in relation to another.
-
B.
modalityOf
Indicates that one element specifies the manner, mood, or mode in which the action, event, or state expressed by another element is realized or presented.
-
C.
hasImagingType
chosen
Indicates the specific imaging modality or technique associated with or used in a given imaging procedure or result.
-
D.
notableModality
Indicates that the primary or most significant mode, medium, or form through which something is expressed, delivered, or experienced is being specified.
-
E.
usesModality
Indicates that an action, communication, or process is carried out through or characterized by a particular modality (such as visual, auditory, tactile, or another mode of expression or operation).
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.