Triple
T17430518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jones School |
E423855
|
entity |
| Predicate | hasMBAFormat |
P127433
|
FINISHED |
| Object | full-time |
—
|
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: full-time | Statement: [Jones School, hasMBAFormat, full-time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMBAFormat Context triple: [Jones School, hasMBAFormat, full-time]
-
A.
hasMatchFormat
Indicates that something (such as a game, event, or competition) is conducted according to a specified match format or structure.
-
B.
hasExhibitFormat
Indicates the specific format or medium in which an exhibit is presented or made available.
-
C.
meetsFormat
Indicates that something conforms to, satisfies, or is compliant with a specified format or structural standard.
-
D.
hasProductionFormat
Indicates that an entity is associated with, or presented in, a particular production or media format.
-
E.
hasTicketFormat
Indicates that an entity’s ticket is expressed or structured in a particular format.
- F. None of above. chosen
Provenance (4 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448ffb9c8819099fabfeebdc06883 |
completed | April 19, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:46 a.m.