Triple
T36204474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cosmic Vision |
E1047353
|
entity |
| Predicate | missionSelectionProcess |
P126
|
FINISHED |
| Object | open competitive calls |
—
|
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: open competitive calls | Statement: [Cosmic Vision, missionSelectionProcess, open competitive calls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missionSelectionProcess Context triple: [Cosmic Vision, missionSelectionProcess, open competitive calls]
-
A.
qualificationProcess
Indicates the process or set of steps through which an entity is evaluated and approved as meeting required qualifications or standards.
-
B.
selectionProcess
chosen
Indicates the procedure or set of steps by which one or more options are evaluated and chosen from a larger set of candidates.
-
C.
designationProcess
Indicates the process by which an entity is formally assigned, conferred, or recognized with a particular status, role, or designation.
-
D.
qualificationProcessOrganizer
Indicates that an entity is responsible for organizing, managing, or coordinating a qualification process for another entity or activity.
-
E.
boardingProcess
Indicates the process or sequence of actions by which passengers move from a waiting area onto a vehicle (such as an airplane, train, or bus).
- 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:08 p.m.