Triple
T17521176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TD3 |
E426680
|
entity |
| Predicate | environmentInteraction |
P77335
|
FINISHED |
| Object | Markov decision process |
—
|
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: Markov decision process | Statement: [TD3, environmentInteraction, Markov decision process]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environmentInteraction Context triple: [TD3, environmentInteraction, Markov decision process]
-
A.
environmentalCondition
Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
-
B.
tourEnvironment
Indicates that an entity conducts or participates in a tour within a particular environment or setting.
-
C.
landscapeImpact
Indicates how an action, project, or entity alters or affects the visual and physical character of a landscape.
-
D.
environmentalEvent
Indicates an occurrence or phenomenon related to the natural environment, such as climatic, ecological, or geophysical changes or incidents.
-
E.
environmentalFactor
chosen
Indicates that one entity functions as an environmental influence or condition that affects another entity or process.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d2f79881909556894728e255ab |
completed | April 19, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.