Triple
T28435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Educational Resources |
E566
|
entity |
| Predicate | includesType |
P121
|
FINISHED |
| Object | open textbooks |
—
|
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: open textbooks | Statement: [Open Educational Resources, includesType, open textbooks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesType Context triple: [Open Educational Resources, includesType, open textbooks]
-
A.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
B.
hasMemberType
chosen
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
C.
isSubjectTo
Indicates that one entity is governed, affected, or constrained by the authority, rules, conditions, or influence of another entity.
-
D.
appliesTo
Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
-
E.
extendsTo
Indicates that one entity reaches, stretches, or continues its scope, influence, or coverage up to or into another entity.
- 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.