Triple
T29694150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M2-branes |
E751296
|
entity |
| Predicate | hasWorldvolumeTheory |
P191578
|
FINISHED |
| Object | 3D supersymmetric field theory |
—
|
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: 3D supersymmetric field theory | Statement: [M2-branes, hasWorldvolumeTheory, 3D supersymmetric field theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorldvolumeTheory Context triple: [M2-branes, hasWorldvolumeTheory, 3D supersymmetric field theory]
-
A.
stackWorldvolumeTheory
Indicates a relationship where one worldvolume theory is formed by stacking or combining multiple constituent worldvolume theories.
-
B.
hasBosonicWorldvolumeFields
Indicates that the subject possesses or is associated with bosonic fields defined on its worldvolume.
-
C.
hasWorld
Indicates that an entity possesses, is associated with, or encompasses a particular world or global context.
-
D.
worldvolumeDimension
Indicates the number of dimensions of the extended space (worldvolume) in which an object or brane exists or evolves.
-
E.
hasWorldStructure
Indicates that an entity possesses or is characterized by a particular overall world-level organization, framework, or structural configuration.
- 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_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce28a74508190aab36551094e8226 |
completed | May 7, 2026, 7:05 p.m. |
Created at: April 28, 2026, 7:19 p.m.