Triple
T4293691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A3C |
E99656
|
entity |
| Predicate | usesBaseline |
P55279
|
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: [A3C, usesBaseline, state-value function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBaseline Context triple: [A3C, usesBaseline, state-value function]
-
A.
baselineType
Indicates the type or category of a baseline used as a reference point for comparison or evaluation.
-
B.
isBasedOn
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
-
C.
areBasedOn
Indicates that one entity is founded, derived, or developed from the principles, content, or structure of another entity.
-
D.
usedAsBasisFor
Indicates that one entity serves as the foundation, reference, or starting point upon which another entity is developed, derived, justified, or constructed.
-
E.
hasBaselineLength
Indicates that one entity has a specified baseline length measurement in relation to another entity or reference.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35082228081908504e3fd7c4ca1e8 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:08 p.m.