Triple
T34285789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubble Space Telescope data products |
E879730
|
entity |
| Predicate | calibrationIncludes |
P50659
|
FINISHED |
| Object | bias correction |
—
|
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: bias correction | Statement: [Hubble Space Telescope data products, calibrationIncludes, bias correction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: calibrationIncludes Context triple: [Hubble Space Telescope data products, calibrationIncludes, bias correction]
-
A.
calibratedFor
Indicates that something has been adjusted or tuned to operate accurately or optimally for a specific target, condition, or context.
-
B.
calibratedIn
Indicates that an instrument, device, or measurement process has been adjusted or verified to ensure accuracy according to a specified standard, environment, or unit system.
-
C.
hasCalibration
chosen
Indicates that an entity is associated with or uses a specific calibration configuration, setting, or procedure.
-
D.
supportsHardwareCalibration
Indicates that one entity provides the capability or functionality to perform calibration operations on another entity’s hardware.
-
E.
includesMeasures
Indicates that one entity contains, specifies, or encompasses particular measures associated with another entity or context.
- 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_69f349b6df1c81908e5e5b6c2ab6409b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:57 a.m.