Triple
T2375128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera C. Rubin Observatory |
E46179
|
entity |
| Predicate | filterSystem |
P38788
|
FINISHED |
| Object | ugrizy filters |
—
|
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: ugrizy filters | Statement: [Vera C. Rubin Observatory, filterSystem, ugrizy filters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filterSystem Context triple: [Vera C. Rubin Observatory, filterSystem, ugrizy filters]
-
A.
filterType
Indicates the specific category or method of filtering that is applied to a set of items or data.
-
B.
clearingSystem
Indicates that one entity functions as the financial clearing mechanism or infrastructure used to settle transactions for another entity.
-
C.
feedSystem
Indicates that one entity supplies or provides input, resources, or data into another entity or system for its operation or processing.
-
D.
system
Indicates that an entity functions as or belongs to a structured, organized set of components or processes that operate together as a system.
-
E.
packageSystem
Indicates a relationship where an item or component is organized, bundled, or managed within a particular packaging or distribution system.
- 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.