Triple
T26629398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRDIS |
E668450
|
entity |
| Predicate | primaryScienceCase |
P116263
|
FINISHED |
| Object | exoplanet imaging |
—
|
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: exoplanet imaging | Statement: [IRDIS, primaryScienceCase, exoplanet imaging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryScienceCase Context triple: [IRDIS, primaryScienceCase, exoplanet imaging]
-
A.
primaryScience
Indicates that one entity serves as the main or principal scientific focus, discipline, or domain associated with another entity.
-
B.
primaryScienceUse
Indicates that something serves as the main or principal scientific purpose or application of an entity or resource.
-
C.
scienceCase
chosen
Indicates a relationship where something serves as, constitutes, or provides justification as a scientific case or rationale for a study, hypothesis, or investigation.
-
D.
primaryScienceMode
Indicates that a particular configuration, operation, or setting is designated as the main or default mode used for conducting scientific activities or observations.
-
E.
primaryScienceStrength
Indicates the main area in which an entity’s scientific capability or expertise is strongest.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: April 27, 2026, 2:24 a.m.