Triple
T29694212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M5-branes |
E751297
|
entity |
| Predicate | compactificationTo4D |
P141087
|
FINISHED |
| Object | gives 4D N=2 SCFTs on Riemann surfaces |
—
|
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: gives 4D N=2 SCFTs on Riemann surfaces | Statement: [M5-branes, compactificationTo4D, gives 4D N=2 SCFTs on Riemann surfaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compactificationTo4D Context triple: [M5-branes, compactificationTo4D, gives 4D N=2 SCFTs on Riemann surfaces]
-
A.
compactificationTarget
chosen
Indicates that one entity serves as the target space or resulting structure obtained by compactifying the other entity.
-
B.
compactificationShape
Indicates the specific geometric or topological form used to compactify extra dimensions or spaces in a theoretical construction.
-
C.
compactifiableTo
Indicates that one entity can be transformed or extended into a compact (topologically compact) space that contains it or corresponds to it in a well-defined way.
-
D.
spacetimeDimensionAssumed
Indicates that a specific number of spacetime dimensions is being taken as an assumption or working premise in a given context or model.
-
E.
hasD4Branes
Indicates that one entity possesses or is associated with D4-branes in relation to another entity or context.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 28, 2026, 7:19 p.m.