Triple
T4470161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dueling DQN |
E98474
|
entity |
| Predicate | separatesEstimationOf |
P56707
|
FINISHED |
| Object | state-value function |
—
|
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: state-value function | Statement: [Dueling DQN, separatesEstimationOf, state-value function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: separatesEstimationOf Context triple: [Dueling DQN, separatesEstimationOf, state-value function]
-
A.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
B.
separationMethod
Indicates the technique or process used to separate one substance, component, or entity from another.
-
C.
separatedInto
Indicates that something has been divided or split into distinct parts, groups, or components.
-
D.
separatesState
Indicates that one entity serves as a dividing boundary or barrier between two distinct states or regions.
-
E.
separatesBy
Indicates that one entity divides, partitions, or creates a boundary between two or more other entities.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69b356f9afc48190acb50c45a310e072 |
completed | March 13, 2026, 12:14 a.m. |
Created at: March 12, 2026, 11:34 p.m.