Triple
T29108640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neural Fitted Q-Iteration |
E736830
|
entity |
| Predicate | canReuse |
P9928
|
FINISHED |
| Object | previously collected experience |
—
|
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: previously collected experience | Statement: [Neural Fitted Q-Iteration, canReuse, previously collected experience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canReuse Context triple: [Neural Fitted Q-Iteration, canReuse, previously collected experience]
-
A.
isFreeToReuse
Indicates that something may be used again by others without restriction or the need for additional permission.
-
B.
canUse
chosen
Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
-
C.
canBeUsed
Indicates that one entity is suitable or available to serve a particular function, purpose, or role in relation to another entity or context.
-
D.
notReusedFor
Indicates that something is not used again for a subsequent purpose, context, or instance.
-
E.
canBeRecycled
Indicates that an item or material is suitable for processing so it can be reused or converted into new products instead of being discarded as waste.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f661bc4db08190bd91745a1ebfc2ae |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 11:17 a.m.