Triple
T8323928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evenings at Home |
E194900
|
entity |
| Predicate | hasEducationalDimension |
P81940
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Evenings at Home, hasEducationalDimension, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalDimension Context triple: [Evenings at Home, hasEducationalDimension, true]
-
A.
hasEducationalOrientation
Indicates that one entity is oriented toward, focused on, or characterized by a particular educational approach, philosophy, or direction in relation to another entity.
-
B.
hasEducationalMission
Indicates that an entity is responsible for or engaged in carrying out an educational purpose, goal, or function.
-
C.
hasEducationalUse
Indicates that something is intended to be used for educational or instructional purposes.
-
D.
hasEducationalFeature
Indicates that something includes or is associated with a component, characteristic, or functionality intended for educational purposes.
-
E.
hasEducationalAudience
Indicates that something is intended for or directed toward a specific educational audience or learner group.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f7cf49c8190b8440ff01926a66a |
completed | March 31, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 5:56 p.m.