Triple
T11547540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyrian |
E273808
|
entity |
| Predicate | membershipProcess |
P45671
|
FINISHED |
| Object | aspirant training |
—
|
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: aspirant training | Statement: [Kyrian, membershipProcess, aspirant training]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: membershipProcess Context triple: [Kyrian, membershipProcess, aspirant training]
-
A.
membershipApplicationOf
Indicates that one entity is a membership application that is submitted for or associated with another entity (typically the applicant or organization).
-
B.
membershipFocus
Indicates a relationship where the primary attention, priority, or emphasis is placed on the members of a group or organization, rather than on other aspects such as products, profits, or external stakeholders.
-
C.
membershipCondition
chosen
Indicates the rule, requirement, or criterion that determines whether an entity qualifies for membership in a given group or set.
-
D.
membershipField
Indicates that one entity serves as a field or attribute capturing the membership status or association of another entity within a group, organization, or collection.
-
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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e3ad548190b2c88332f5d919bd |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d8087cbe7c819085680f3d67ccc978 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.