Triple
T18772164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD 26499 |
E459040
|
entity |
| Predicate | associationAge |
P108861
|
FINISHED |
| Object | young |
—
|
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: young | Statement: [HD 26499, associationAge, young]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associationAge Context triple: [HD 26499, associationAge, young]
-
A.
associationStatus
Indicates the current state or condition of an established association or relationship between entities.
-
B.
associationFounded
Indicates that an entity (such as a person or organization) established or created an association or organization.
-
C.
organizationAssociatedWith
Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
-
D.
CAFMemberSince
Indicates that an entity has been a member of the CAF (or a specified organization/group named CAF) since a particular date or point in time.
-
E.
ageGroupInvolved
chosen
Indicates that a particular age group participates in, is affected by, or is otherwise involved in the specified event or relationship.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59336a6b08190819595a55177264e |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.