Triple
T11002068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wide Field Channel |
E260025
|
entity |
| Predicate | hasPixelScale |
P37041
|
FINISHED |
| Object | approximately 0.05 arcseconds per pixel |
—
|
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: approximately 0.05 arcseconds per pixel | Statement: [Wide Field Channel, hasPixelScale, approximately 0.05 arcseconds per pixel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPixelScale Context triple: [Wide Field Channel, hasPixelScale, approximately 0.05 arcseconds per pixel]
-
A.
hasPixelPitch
Indicates the distance between adjacent pixels in a display or image sensor, typically measured from center to center.
-
B.
hasScale
Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
-
C.
hasScaleHeight
Indicates the characteristic vertical distance over which a quantity (such as pressure, density, or concentration) decreases by a fixed factor in a stratified medium.
-
D.
pixelScale
chosen
Indicates the ratio or conversion factor between pixel units and real-world or coordinate-space units in a representation or image.
-
E.
supportsContentsScale
Indicates that an object can adjust its content rendering to match a specified display or screen scale factor.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d760008190930228fa77b61b8b |
completed | April 9, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.