Triple
T21605030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD 108248 |
E533148
|
entity |
| Predicate | isBinary |
P144757
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [HD 108248, isBinary, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBinary Context triple: [HD 108248, isBinary, true]
-
A.
hasBinary
Indicates that one entity is associated with another entity in a binary (two-component) relationship, typically as one of the two members of a pair.
-
B.
hasBinaryPeriod
Indicates that two objects in a binary system have a specific orbital period for completing one full revolution around their common center of mass.
-
C.
binaryType
Indicates that something is classified as a binary type, typically distinguishing between two mutually exclusive categories or values.
-
D.
isComposite
Indicates that an entity is made up of multiple components or parts combined into a single whole.
-
E.
supportsBinaryPackages
Indicates that one entity provides or is compatible with precompiled binary packages for 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e4a8088190bf51ab2af2369762 |
completed | April 27, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:33 p.m.