Triple
T29694137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M2-branes |
E751296
|
entity |
| Predicate | hasWorldvolumeDimension |
P154407
|
FINISHED |
| Object | 2+1 |
—
|
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: 2+1 | Statement: [M2-branes, hasWorldvolumeDimension, 2+1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorldvolumeDimension Context triple: [M2-branes, hasWorldvolumeDimension, 2+1]
-
A.
worldvolumeDimension
chosen
Indicates the number of dimensions of the extended space (worldvolume) in which an object or brane exists or evolves.
-
B.
hasVolumeElement
Indicates that something includes or is associated with a specific volumetric component or element within its structure or representation.
-
C.
hasIndividualDimension
Indicates that an entity possesses a specific, separately identifiable dimension or measurable extent as an individual attribute.
-
D.
hasDimensionality
Indicates that an entity possesses a specific number of dimensions or a particular dimensional structure.
-
E.
volumeOf
Indicates the quantitative three-dimensional space occupied by an entity or contained within an object.
- 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_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: April 28, 2026, 7:19 p.m.