Triple
T4477746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ku |
E100050
|
entity |
| Predicate | hasImageType |
P56789
|
FINISHED |
| Object | large feathered temple 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: large feathered temple images | Statement: [Ku, hasImageType, large feathered temple images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImageType Context triple: [Ku, hasImageType, large feathered temple images]
-
A.
hasImagingType
Indicates the specific imaging modality or technique associated with or used in a given imaging procedure or result.
-
B.
hasColorType
Indicates that an entity is associated with a specific category or type of color.
-
C.
hasImageSurface
Indicates that one entity possesses or is associated with a surface suitable for displaying or bearing an image.
-
D.
hasKeyImage
Indicates that one entity is designated as the primary or representative image associated with another entity.
-
E.
hasHiddenImage
Indicates that an entity contains or is associated with an image that is not immediately visible or is intentionally concealed from normal view.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
| PDg | Predicate description generation | batch_69b35727a8ac819090420bd3e2cfbcf1 |
completed | March 13, 2026, 12:15 a.m. |
Created at: March 12, 2026, 11:35 p.m.