Triple
T28467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Educational Resources |
E566
|
entity |
| Predicate | hasDistributionChannel |
P1486
|
FINISHED |
| Object | online repositories |
—
|
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: online repositories | Statement: [Open Educational Resources, hasDistributionChannel, online repositories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistributionChannel Context triple: [Open Educational Resources, hasDistributionChannel, online repositories]
-
A.
distributionMethod
chosen
Indicates the means or channel through which something (such as a product, resource, or information) is delivered or made available to recipients.
-
B.
hasPartner
Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
-
C.
hasAffiliate
Indicates that one entity is formally associated with another as an affiliate, typically through a partnership, membership, or subordinate organizational relationship.
-
D.
distribution
Indicates the act or pattern of giving, delivering, or spreading something from one source to multiple recipients or locations.
-
E.
hasPublisher
Indicates that an entity is published or issued by a specific publisher.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24925607c8190a9ce7ec834f3e5bb |
completed | Feb. 28, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69a2486bd74c81908d32be3c7d22f51f |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.