Triple
T8141153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirius |
E190097
|
entity |
| Predicate | isStandardStarFor |
P34280
|
FINISHED |
| Object | photometric calibration |
—
|
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: photometric calibration | Statement: [Sirius, isStandardStarFor, photometric calibration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStandardStarFor Context triple: [Sirius, isStandardStarFor, photometric calibration]
-
A.
isStandardOf
chosen
Indicates that something serves as the recognized norm, reference, or benchmark by which another thing is defined, measured, or evaluated.
-
B.
isStandard
Indicates that something conforms to an established norm, specification, or commonly accepted rule.
-
C.
starIs
Indicates that one entity is identified or classified as a star in relation to another entity or context.
-
D.
isGiantStar
Indicates that a star has an exceptionally large radius and luminosity compared to main-sequence stars, classifying it as a giant star.
-
E.
isBrightStar
Indicates that the subject star has a high intrinsic luminosity or apparent brightness compared to typical stars.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4442299881909db56f7475cbb99a |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:36 p.m.