Triple
T12176333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WASP exoplanet survey |
E290095
|
entity |
| Predicate | dataAnalysis |
P96786
|
FINISHED |
| Object | light curve analysis |
—
|
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: light curve analysis | Statement: [WASP exoplanet survey, dataAnalysis, light curve analysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataAnalysis Context triple: [WASP exoplanet survey, dataAnalysis, light curve analysis]
-
A.
dataAnalysisEnd
Indicates that a data analysis process or activity has been completed or brought to an end.
-
B.
data
chosen
Indicates that one entity serves as informational content, measurements, or recorded values associated with another entity.
-
C.
helpsAnalyze
Indicates that one entity assists another in examining, interpreting, or understanding something in a more detailed or effective way.
-
D.
usedDataAnalytics
Indicates that an entity applied data analytics techniques or insights in performing an action or making a decision related to another entity.
-
E.
statisticsConsidered
Indicates that certain statistics are taken into account or used as a basis in a decision, analysis, or evaluation involving the related entities.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.