Triple
T29694152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M2-branes |
E751296
|
entity |
| Predicate | multipleBranesDescribedBy |
P168673
|
FINISHED |
| Object | BLG theory for two M2-branes |
—
|
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: BLG theory for two M2-branes | Statement: [M2-branes, multipleBranesDescribedBy, BLG theory for two M2-branes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: multipleBranesDescribedBy Context triple: [M2-branes, multipleBranesDescribedBy, BLG theory for two M2-branes]
-
A.
hasDpBranesFor
Indicates that one entity includes, uses, or is associated with specific Dp-branes in relation to another entity or context.
-
B.
hasD2Branes
Indicates that an entity possesses or is associated with D2-branes (two-dimensional D-branes) in a given physical or theoretical context.
-
C.
hasD6Branes
Indicates that one entity possesses, contains, or is associated with D6-branes in relation to another entity.
-
D.
hasD0Branes
Indicates that an entity possesses or is associated with D0-branes (point-like D-branes) in a given physical or theoretical context.
-
E.
multipleDescentsBy
Indicates that one entity undergoes more than one descent or downward movement caused or guided by 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 28, 2026, 7:19 p.m.