Triple
T18465625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Human Sciences |
E451150
|
entity |
| Predicate | typicalProgramsInclude |
P115049
|
FINISHED |
| Object | psychology |
—
|
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: psychology | Statement: [Faculty of Human Sciences, typicalProgramsInclude, psychology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalProgramsInclude Context triple: [Faculty of Human Sciences, typicalProgramsInclude, psychology]
-
A.
notableProgramsInclude
Indicates that the entity is known for or associated with offering or participating in the specified programs.
-
B.
publicProgramsInclude
Indicates that a set of public programs contains or encompasses a particular program as one of its components.
-
C.
typicalGenresIncluded
Indicates that certain genres are commonly or characteristically included as part of another entity’s usual set of genres.
-
D.
offeredFamilyOfPrograms
chosen
Indicates that an entity provides or makes available a specific family or group of related programs.
-
E.
targetAudienceOfPrograms
Indicates that a particular group or entity is the intended audience or recipient of certain programs.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a83a27c8190aafb82f615c2dd72 |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:34 a.m.