Triple
T18771986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD 23180 |
E459035
|
entity |
| Predicate | isVariable |
P13845
|
FINISHED |
| Object | no strong evidence of large-amplitude variability |
—
|
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: no strong evidence of large-amplitude variability | Statement: [HD 23180, isVariable, no strong evidence of large-amplitude variability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isVariable Context triple: [HD 23180, isVariable, no strong evidence of large-amplitude variability]
-
A.
hasVariable
Indicates that one entity includes, defines, or is associated with a particular variable.
-
B.
isVariableStar
Indicates that an astronomical object exhibits intrinsic brightness variations over time, classifying it as a variable star.
-
C.
hasVariability
chosen
Indicates that an entity exhibits variation or fluctuation in its state, value, or characteristics over time or across instances.
-
D.
usesVAR
Indicates that one entity makes use of, employs, or utilizes another entity as a variable or resource in performing some function or operation.
-
E.
hasIndependentVariable
Indicates that one entity functions as the independent variable that influences or determines another entity in a relationship or experiment.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59336a6b08190819595a55177264e |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.