Triple
T32315050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubble Ultra Deep Field |
E825607
|
entity |
| Predicate | numberOfExposures |
—
|
GENERATED |
| Object | 800 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfExposures Context triple: [Hubble Ultra Deep Field, numberOfExposures, 800]
-
A.
numberOfStills
Indicates the quantity of still images associated with or contained in a given entity or context.
-
B.
hasExposuresIn
Indicates that an entity is subject to or involved in certain risks, conditions, or influencing factors within a specified context, environment, or domain.
-
C.
numberOfImagesTaken
chosen
Indicates the quantity of images that have been captured or recorded in relation to a given subject or event.
-
D.
yearOfExposure
Indicates the specific year in which an entity was exposed to a particular influence, condition, or event.
-
E.
exposureType
Indicates the specific manner or context in which one entity is exposed to another entity, condition, or influence.
- F. None of above.
Provenance (1 batch)
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_69f3491213b88190a57094d8697a7455 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:46 a.m.