Triple
T11912514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinical Congress |
E283428
|
entity |
| Predicate | educationalFormat |
P16603
|
FINISHED |
| Object | lectures |
—
|
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: lectures | Statement: [Clinical Congress, educationalFormat, lectures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationalFormat Context triple: [Clinical Congress, educationalFormat, lectures]
-
A.
educationalModel
Indicates that one entity serves as an educational model, framework, or paradigm that guides or structures the teaching, learning, or training practices of another entity.
-
B.
trainingFormat
chosen
Indicates the specific method or medium through which training is delivered or conducted.
-
C.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
D.
educationalActivity
Indicates an action or relationship in which one entity engages in or provides a learning or teaching activity for another.
-
E.
educationalApproach
Indicates the method, strategy, or philosophy used to guide teaching and learning within an educational context.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e528f6748190ac873a040a61fa93 |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.