Triple
T32315050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubble Ultra Deep Field |
E825607
|
entity |
| Predicate | numberOfExposures |
P65479
|
FINISHED |
| Object | 800 |
—
|
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: 800 | Statement: [Hubble Ultra Deep Field, numberOfExposures, 800]
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 (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_69f3491213b88190a57094d8697a7455 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01a48fbbd481908ccf75551dcf4647 |
completed | May 11, 2026, 9:42 a.m. |
| PD | Predicate disambiguation | batch_6a01a2d6db208190b11c1af601a544f5 |
completed | May 11, 2026, 9:35 a.m. |
Created at: May 1, 2026, 12:46 a.m.