Triple
T29694172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M2-branes |
E751296
|
entity |
| Predicate | stackWorldvolumeTheory |
P167609
|
FINISHED |
| Object | interacting 3D superconformal Chern–Simons-matter 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: interacting 3D superconformal Chern–Simons-matter theory | Statement: [M2-branes, stackWorldvolumeTheory, interacting 3D superconformal Chern–Simons-matter theory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stackWorldvolumeTheory Context triple: [M2-branes, stackWorldvolumeTheory, interacting 3D superconformal Chern–Simons-matter theory]
-
A.
worldvolumeDimension
Indicates the number of dimensions of the extended space (worldvolume) in which an object or brane exists or evolves.
-
B.
volumeOf
Indicates the quantitative three-dimensional space occupied by an entity or contained within an object.
-
C.
volume
Indicates the amount of three-dimensional space an entity occupies or contains.
-
D.
hasWorldStructure
Indicates that an entity possesses or is characterized by a particular overall world-level organization, framework, or structural configuration.
-
E.
foundInVolume
Indicates that one entity is physically or logically contained within, or occurs in, a specific volume (such as a book volume, data volume, or bounded collection).
- 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_69f672af46e48190b76e9298e7d23eef |
completed | May 2, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 7:19 p.m.