Triple
T20690432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SO(32) heterotic string theory |
E508535
|
entity |
| Predicate | gaugeGroupDimension |
P141084
|
FINISHED |
| Object | 496 |
—
|
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: 496 | Statement: [SO(32) heterotic string theory, gaugeGroupDimension, 496]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gaugeGroupDimension Context triple: [SO(32) heterotic string theory, gaugeGroupDimension, 496]
-
A.
gaugeGroup
Indicates a relationship where a physical or theoretical model is associated with the gauge group that defines its underlying symmetry structure.
-
B.
gaugeType
Indicates the specific kind or category of gauge associated with an entity or measurement.
-
C.
gaugeCompatibleWith
Indicates that one gauge can be properly used with, mounted to, or function correctly in conjunction with another specified component or system.
-
D.
gaugeClass
Indicates that one entity is classified as a particular type or category of gauge.
-
E.
gaugeRelationship
Indicates a relationship where one entity measures, assesses, or evaluates the state, quality, or degree of another entity.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10cb5588190acb88f2c82fc593a |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:08 p.m.