Triple
T5112314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Demands of the Egg |
E115243
|
entity |
| Predicate | educationalGenre |
P61666
|
FINISHED |
| Object | science education |
—
|
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: science education | Statement: [The Demands of the Egg, educationalGenre, science education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationalGenre Context triple: [The Demands of the Egg, educationalGenre, science education]
-
A.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
B.
hasEducationalAudience
Indicates that something is intended for or directed toward a specific educational audience or learner group.
-
C.
educates
Indicates that one entity provides instruction, knowledge, or training to another entity.
-
D.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
E.
educationalActivity
Indicates an action or relationship in which one entity engages in or provides a learning or teaching activity for another.
- 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75ca57e881908242def2a032902e |
completed | March 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69bd715fe3a8819087d3065adddba515 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd72e1b7cc8190b2e621fdf8f22e38 |
completed | March 20, 2026, 4:16 p.m. |
Created at: March 20, 2026, 1:41 p.m.