Triple
T4217545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baade’s star |
E94255
|
entity |
| Predicate | variabilityType |
P24817
|
FINISHED |
| Object | variable star (specific subtype not well established in literature) |
—
|
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: variable star (specific subtype not well established in literature) | Statement: [Baade’s star, variabilityType, variable star (specific subtype not well established in literature)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: variabilityType Context triple: [Baade’s star, variabilityType, variable star (specific subtype not well established in literature)]
-
A.
hasVariability
Indicates that an entity exhibits variation or fluctuation in its state, value, or characteristics over time or across instances.
-
B.
variableType
chosen
Indicates that one entity is the type or data category of the other entity, which is a variable.
-
C.
hasDirectionVariability
Indicates that the direction associated with an entity or process is not fixed but varies over time, space, or conditions.
-
D.
variant
Indicates that one entity is an alternative form, version, or variation of another entity.
-
E.
varietyOf
Indicates that one entity is a specific type, kind, or variant of another, more general entity.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e4bf6088190926b982039a12079 |
completed | March 12, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69b347f1d7b48190bd8974c03c7dc937 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:04 p.m.