Triple
T2373210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wide Field and Planetary Camera 2 |
E46135
|
entity |
| Predicate | correctsFor |
P38759
|
FINISHED |
| Object | Hubble primary mirror spherical aberration |
—
|
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: Hubble primary mirror spherical aberration | Statement: [Wide Field and Planetary Camera 2, correctsFor, Hubble primary mirror spherical aberration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correctsFor Context triple: [Wide Field and Planetary Camera 2, correctsFor, Hubble primary mirror spherical aberration]
-
A.
induction
Indicates the process by which one entity causes, initiates, or brings about a state, action, or condition in another.
-
B.
export
Indicates that one entity sends goods, services, or data out from its own domain or territory to another entity or external destination.
-
C.
learn
Indicates that an entity acquires knowledge, skills, or understanding from another entity, source, or experience.
-
D.
coreIdea
Indicates the central concept or primary message that underlies or unifies something, such as a text, argument, or work.
-
E.
in
Indicates that one entity is located within the spatial, temporal, or conceptual bounds of another entity.
- F. None of above. chosen
Provenance (4 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abca4d89248190be7d712d5fa8382b |
completed | March 7, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69abc59d82f08190b7c36982d1ae783d |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abca4c937c8190b4dfca716b868d4f |
completed | March 7, 2026, 6:48 a.m. |
Created at: March 4, 2026, 7:56 p.m.