Triple
T35689752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese restaurant process |
E1031255
|
entity |
| Predicate | symbolForConcentrationParameter |
P184073
|
FINISHED |
| Object | α |
—
|
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: α | Statement: [Chinese restaurant process, symbolForConcentrationParameter, α]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolForConcentrationParameter Context triple: [Chinese restaurant process, symbolForConcentrationParameter, α]
-
A.
concentrationParameterAffects
Indicates that a change in a concentration parameter has an influence or impact on another variable, condition, or outcome.
-
B.
concentrationComponent
Indicates that one entity is a constituent or ingredient whose amount contributes to the overall concentration of another entity (such as a mixture, solution, or sample).
-
C.
symbolForInteractionParameter
Indicates that one entity serves as the symbolic representation or notation used to denote a specific interaction parameter associated with another entity.
-
D.
concentration
Indicates the degree to which a substance or entity is present within a given medium, mixture, or space.
-
E.
symbolForFrequency
Indicates that one entity serves as the symbolic representation or notation used to denote the frequency of another entity or phenomenon.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:05 p.m.