Triple
T5164154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson County International Baccalaureate School |
E116508
|
entity |
| Predicate | hasProgramEmphasis |
P13679
|
FINISHED |
| Object | humanities |
—
|
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: humanities | Statement: [Jefferson County International Baccalaureate School, hasProgramEmphasis, humanities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProgramEmphasis Context triple: [Jefferson County International Baccalaureate School, hasProgramEmphasis, humanities]
-
A.
hasEmphasis
Indicates that one element is given special stress, importance, or prominence relative to others.
-
B.
hasProgrammingFocus
Indicates that something is centered on, specialized in, or primarily concerned with programming.
-
C.
hasMajorProgram
Indicates that an educational institution offers a specific field of study as a primary academic program.
-
D.
programFocus
chosen
Indicates that an educational or training program is primarily oriented around or concentrated on a particular subject, theme, or objective.
-
E.
hasEducationalProgram
Indicates that an entity offers, runs, or is associated with a specific educational program.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd792936d48190825da8826448c1da |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.