Triple
T33328326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FFA |
E853331
|
entity |
| Predicate | parentField |
P24894
|
FINISHED |
| Object | career and technical education |
—
|
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: career and technical education | Statement: [FFA, parentField, career and technical education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentField Context triple: [FFA, parentField, career and technical education]
-
A.
parentFrom
Indicates that one entity is the parent (biological, adoptive, or legal) of another entity.
-
B.
parentRelationship
Indicates a familial relationship in which one entity is the parent of another entity.
-
C.
parentType
chosen
Indicates that one entity serves as the direct parent or higher-level type from which another entity is derived or classified.
-
D.
parentPosition
Indicates that one entity occupies the role of a parent or higher-level position relative to another entity in a hierarchical structure.
-
E.
parentLabel
Indicates that one entity serves as the parent or higher-level label/category for another label in a hierarchical structure.
- 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_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 1, 2026, 1:34 a.m.