Triple
T33328346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FFA |
E853331
|
entity |
| Predicate | studentLeadershipBody |
P26856
|
FINISHED |
| Object | National FFA Officer Team |
—
|
NE NERFINISHED |
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: National FFA Officer Team | Statement: [FFA, studentLeadershipBody, National FFA Officer Team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentLeadershipBody Context triple: [FFA, studentLeadershipBody, National FFA Officer Team]
-
A.
representsStudentBody
chosen
Indicates that one entity serves as the official representative or governing body for the students of another entity (such as a school or institution).
-
B.
featuresStudentPolitics
Indicates that the subject includes, highlights, or is characterized by student political activities, issues, or organizations.
-
C.
youthLeader
Indicates that an entity holds a leadership role within a youth-focused group, organization, or activity.
-
D.
studentComponent
Indicates that one entity functions as a student-related part, module, or subunit within a larger system, structure, or context.
-
E.
studentBodyScope
Indicates the scope or extent of a relationship, rule, or attribute as it applies to a defined group of students within a student body.
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:34 a.m.