Triple
T4470279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A2C |
E98476
|
entity |
| Predicate | entropyBonusPurpose |
P5268
|
FINISHED |
| Object | encourage exploration |
—
|
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: encourage exploration | Statement: [A2C, entropyBonusPurpose, encourage exploration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entropyBonusPurpose Context triple: [A2C, entropyBonusPurpose, encourage exploration]
-
A.
supportsBonus
chosen
Indicates that one entity provides or enables an additional benefit, reward, or bonus for another entity.
-
B.
additionalFundingPurpose
Indicates the specific reason or intended use for which additional funding is sought or allocated beyond the original amount.
-
C.
accessPurpose
Indicates that one entity uses or accesses another entity specifically for a defined purpose or intended use.
-
D.
purpose
Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
-
E.
rewardUse
Indicates that one entity grants or provides a reward in response to the use or utilization of 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:34 p.m.