Triple
T32257256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubble Deep Field |
E824056
|
entity |
| Predicate | exposureStrategy |
P155605
|
FINISHED |
| Object | multiple long exposures combined to increase depth |
—
|
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: multiple long exposures combined to increase depth | Statement: [Hubble Deep Field, exposureStrategy, multiple long exposures combined to increase depth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exposureStrategy Context triple: [Hubble Deep Field, exposureStrategy, multiple long exposures combined to increase depth]
-
A.
exposureType
Indicates the specific manner or context in which one entity is exposed to another entity, condition, or influence.
-
B.
exposureLevel
Indicates the degree or intensity to which an entity is subjected or exposed to a particular factor, condition, or influence.
-
C.
observingStrategy
chosen
Indicates a relationship where one party defines or employs a specific method or plan for conducting observations.
-
D.
exposureModes
Indicates the different ways or conditions under which an entity can be exposed to another entity, factor, or influence.
-
E.
acquisitionStrategy
Indicates the method or approach by which one entity acquires or gains control, ownership, or access to another entity.
- 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc549ce88190963037034412e0b1 |
completed | May 3, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:41 a.m.