Triple
T3851842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annenberg Learner |
E85311
|
entity |
| Predicate | typeOfResource |
P3729
|
FINISHED |
| Object | free educational resources |
—
|
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: free educational resources | Statement: [Annenberg Learner, typeOfResource, free educational resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfResource Context triple: [Annenberg Learner, typeOfResource, free educational resources]
-
A.
hasTypeOfResource
chosen
Indicates that an entity is associated with a specific category or kind of resource it represents or utilizes.
-
B.
documentationType
Indicates the specific category or kind of documentation associated with or required for an entity or process.
-
C.
libraryType
Indicates the specific category or classification of a library based on its function, scope, or organizational role.
-
D.
typeOfSite
Indicates the specific category or kind of site that an entity is classified as.
-
E.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebd0feb081909cc1d5bf41e4acd6 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.