Triple
T4619110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaus Media |
E100935
|
entity |
| Predicate | hasVariableStarDesignation |
P57024
|
FINISHED |
| Object | none known |
—
|
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: none known | Statement: [Kaus Media, hasVariableStarDesignation, none known]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVariableStarDesignation Context triple: [Kaus Media, hasVariableStarDesignation, none known]
-
A.
variableStarType
Indicates the specific classification of variability that characterizes a variable star’s changing brightness.
-
B.
cataloguedAsStar
Indicates that an object has been classified and recorded specifically as a star in a catalog or database.
-
C.
containsAsterism
Indicates that one entity includes or encompasses an asterism (a recognizable pattern or grouping of stars) within its extent or definition.
-
D.
isAsterismOf
Indicates that one or more stars collectively form or belong to a specific asterism.
-
E.
hasBrightStar
Indicates that one entity possesses, contains, or is associated with a star characterized by high brightness.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e3e6948190925e2cfad20dcc8c |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522fd5c48190ad2bffc0a5bc9061 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd556b93cc8190ab817d2817109a0b |
completed | March 20, 2026, 2:10 p.m. |
Created at: March 20, 2026, 1:12 p.m.