Triple
T10269843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chern–Simons theory |
E240804
|
entity |
| Predicate | levelQuantizationCondition |
P68585
|
FINISHED |
| Object | k ∈ ℤ for compact simple gauge groups |
—
|
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: k ∈ ℤ for compact simple gauge groups | Statement: [Chern–Simons theory, levelQuantizationCondition, k ∈ ℤ for compact simple gauge groups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelQuantizationCondition Context triple: [Chern–Simons theory, levelQuantizationCondition, k ∈ ℤ for compact simple gauge groups]
-
A.
hasQuantizationCondition
chosen
Indicates that a system, parameter, or quantity is constrained to take on only discrete (often integer-related) values according to a specific quantization rule or condition.
-
B.
quantizationIs
Indicates that one entity is a specific quantization or discretized representation of another entity.
-
C.
levelNotation
Indicates the specific symbolic or textual notation used to represent the level, degree, or rank of something within a defined scale or hierarchy.
-
D.
isQuantizedBy
Indicates that a continuous or variable quantity is represented or constrained using discrete units, levels, or steps defined by another entity.
-
E.
controlGranularity
Indicates the level of detail or fineness with which control or regulation is applied within a given process or system.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:35 a.m.